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Spreading rate dependence of morphological characteristics in global oceanic transform faults 被引量:3
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作者 Yiming Luo Jian Lin +1 位作者 Fan Zhang Meng Wei 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2021年第4期39-64,共26页
We quantified the systematic variations in global transform fault morphology,revealing a first-order dependence on the spreading rate.(1)The average age offset of both the full transform and transform sub-segments dec... We quantified the systematic variations in global transform fault morphology,revealing a first-order dependence on the spreading rate.(1)The average age offset of both the full transform and transform sub-segments decrease with increasing spreading rate.(2)The average depth of both the transform valley and adjacent ridges are smaller in the fast compared to the slow systems,reflecting possibly density anomalies associated with warmer mantle at the fast systems and rifting at the slow ridges.However,the average depth difference between the transform valley and adjacent ridges is relatively constant from the fast to slow systems.(3)The nodal basin at a ridge-transform intersection is deeper and dominant at the ultraslow and slow systems,possibly reflecting a lower magma supply and stronger viscous resistance to mantle upwelling near a colder transform wall.In contrast,the nodal high,is most prominent in the fast,intermediate,and hotspot-influenced systems,where robust axial volcanic ridges extend toward the ridge-transform intersection.(4)Statistically,the average transform valley is wider at a transform system of larger age offset,reflecting thicker deforming plates flanking the transform fault.(5)The maximum magnitude of the transform earthquakes increases with age offset owing to an increase in the seismogenic area.Individual transform faults also exhibit significant anomalies owing to the complex local tectonic and magmatic processes. 展开更多
关键词 mid-ocean ridge transform fault MORPHOLOGY spreading rate transform earthquakes
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Microearthquake reveals the lithospheric structure at midocean ridges and oceanic transform faults 被引量:1
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作者 Zhiteng YU Jiabiao LI Weiwei DING 《Journal of Oceanology and Limnology》 SCIE CAS CSCD 2024年第3期697-700,共4页
Mid-ocean ridge and oceanic transforms are among the most prominent features on the seafloor surface and are crucial for understanding seafloor spreading and plate tectonic dynamics,but the deep structure of the ocean... Mid-ocean ridge and oceanic transforms are among the most prominent features on the seafloor surface and are crucial for understanding seafloor spreading and plate tectonic dynamics,but the deep structure of the oceanic lithosphere remains poorly understood.The large number of microearthquakes occurring along ridges and transforms provide valuable information for gaining an indepth view of the underlying detailed seismic structures,contributing to understanding geodynamic processes within the oceanic lithosphere.Previous studies have indicated that the maximum depth of microseismicity is controlled by the 600-℃isotherm.However,this perspective is being challenged due to increasing observations of deep earthquakes that far exceed this suggested isotherm along mid-ocean ridges and oceanic transform faults.Several mechanisms have been proposed to explain these deep events,and we suggest that local geodynamic processes(e.g.,magma supply,mylonite shear zone,longlived faults,hydrothermal vents,etc.)likely play a more important role than previously thought. 展开更多
关键词 microearthquake mid-ocean ridge oceanic transform fault oceanic lithosphere thermal structure earthquake location
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CENOZOIC ALTYN TRANSFORM FAULT OF THE NORTHERN PART OF THE TIBETAN PLATEAU
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作者 Wang Genhou,Gao Jinhan,Wang Xiaoniu (China University of Geosciences, Beijing 100083,China) 《地学前缘》 EI CAS CSCD 2000年第S1期159-160,共2页
The transform fault is essentially a displacement fault whose terminal part is adjusted by other tectonic types, its displacement component is absorbed by other structures intersected with it by high angles or meet at... The transform fault is essentially a displacement fault whose terminal part is adjusted by other tectonic types, its displacement component is absorbed by other structures intersected with it by high angles or meet at right angles. The main elements of transform fault are the sleep\|dipping displacement faults and the adjusted structures intersected with it at high angles. According to the combination of tectonic features formed by its two ends of displacement fault and the structures intersected with it, the transform fault can be divided into three types, including the adjusted transform fault of extensional normal fault, the adjusted transform fault of compressive fold and thrust fault, and the compound transform fault. The transform fault is different from the displacement fault, its horizontal displacement may be increased or decreased or not be changed at all as the time of fault movement extended, but for parallel displacement the dislocation will be increased. Therefore, the study of transform fault is very important for the recognition of long time disputed displacement components of huge displacement fault. The traditional Altyn fault is the adjusting fault of the compression deformation of the Western Kunlun and Northern Qilian mountains of the northern margin of the Tibetan Plateau since Cenozoic. 展开更多
关键词 transform fault Altyn TIBETAN PLATEAU adjustment DISPLACEMENT fault
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Transform faults and transfer faults:Plate boundary and intra-continental tectonic dynamics transition
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作者 Yunpeng DONG Bo HUI +6 位作者 Bo WANG Shengsi SUN Huajian YAO Junlai LIU Rutao ZANG Yongcheng LI Qingxing LUO 《Science China Earth Sciences》 2025年第12期3867-3911,共45页
Large strike-slip faults play a crucial role in regulating the geometry and kinematics of the solid Earth's outer lithospheric plates and the structural deformation of internal continents.They not only control the... Large strike-slip faults play a crucial role in regulating the geometry and kinematics of the solid Earth's outer lithospheric plates and the structural deformation of internal continents.They not only control the geometric structures,motion properties,and direction of the lithospheric plates,but also regulate the complex tectonic stress field and strain state caused by differential motion among multiple blocks within the continent,maintaining the relative stability of the overall stress state of the lithosphere on the Earth's surface.According to the nature and significance of geotectonic structures,strike-slip faults can be divided into interplate types and intraplate tectonic types.Interplate strike-slip faults are transform faults,including oceanic transform faults and continental transform faults.Intraplate strike-slip faults can be divided into continental transfer faults and intraplate transcurrent faults.During the lateral movement of lithospheric plates along the Earth's surface,transform faults adjust the differences in the nature,direction,and rate of movement between different plates.Meanwhile,continental transfer faults and intraplate transcurrent faults adjust the location,nature,style,and differential stress of intraplate tectonic deformation.Strike-slip faults of varying types and scales interact in different ways to maintain the dynamic balance of matter and energy within Earth's lithospheric plates.Based on the concepts,tectonic significance,and recent research advances of strike-slip faults and classical transform faults,this paper summarizes the latest classification of strike-slip faults and their corresponding tectonic implications.It also updates the definitions,geometric characteristics,and kinematic features of oceanic transform faults,continental transform faults,continental transfer faults,and intraplate transcurrent faults.Through typical global examples,this paper comprehensively analyzes the deep structure,structural geometry and kinematic characteristics,evolution process,geological significance,and seismic hazards of different types of strike-slip faults.Furthermore,the frontier science issue and research strategies for the study of oceanic transform faults,continental transfer faults,and intraplate transcurrent faults are summarized as well. 展开更多
关键词 Oceanic transform fault Continental transform fault Continental transfer fault Strike-slip fault Plate tectonics and continental dynamics
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Lithospheric structure and geodynamics of oceanic transform fault
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作者 Fan ZHANG Jian LIN +5 位作者 Sanzhong LI Yanhui SUO Pengcheng ZHOU Yiming LUO Caicai ZHA Xubo ZHANG 《Science China Earth Sciences》 2025年第12期3829-3845,共17页
The oceanic transform fault(OTF)is one of the three types of plate boundaries.It provides an important channel for the exchange of material and energy within the Earth's interior,which is significant for understan... The oceanic transform fault(OTF)is one of the three types of plate boundaries.It provides an important channel for the exchange of material and energy within the Earth's interior,which is significant for understanding global plate tectonics.In recent years,substantial progress has been made in the study of OTFs,including their morphology,crustal accretion mode,stress and strain state,brittle-ductile deformation structures,and segmentation and symmetry of seismicity.The combined effects of magmatism and tectonism shape the morphology and structure of OTF:the spreading rate and the age offsets reflect the thermal structure of the OTF,and thus affect the intensity of magmatism;meanwhile,the stress within the lithosphere and plate motion control the tectonic features and formation of faults.Three-dimensional dynamic models have demonstrated that increased magmatism at mid-ocean ridges destabilizes the fault,thereby facilitating the dynamic evolution of the OTF.Moreover,the maximum depth of earthquakes on OTF is controlled by the thermal structure of the lithosphere,which is crucial for characterizing the frictional properties of faults and understanding their seismic behaviors.Based on recent comprehensive research findings,this paper reviews the tectonic features,three-dimensional morphological structure,and lithospheric thermal structure of OTF,and discusses important scientific issues,including the magmatic-tectonic co-evolution and geodynamic mechanisms of OTF.Future research will combine high-resolution observations and theoretical simulations to further elucidate the processes and mechanisms of OTF,providing important advances to global plate tectonic theory. 展开更多
关键词 Mid-ocean ridge Oceanic transform fault GEODYNAMICS Magma supply Thermal evolution Numerical modeling
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Structure and deformation of continental transform faults
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作者 Jikun FENG Huajian YAO +1 位作者 Yunpeng DONG Yang LI 《Science China Earth Sciences》 2025年第12期3846-3866,共21页
Transform faults represent one of the three primary types of plate boundaries in plate tectonics theory and constitute an essential component of this framework.In general,they are classified into oceanic and continent... Transform faults represent one of the three primary types of plate boundaries in plate tectonics theory and constitute an essential component of this framework.In general,they are classified into oceanic and continental transform faults based on the nature of their separated plates.Owing to significant differences in properties between continental and oceanic lithospheres,continental transform faults exhibit more complex structures than their oceanic counterparts.Continental transform faults are strike-slip boundaries where stress and strain are highly concentrated.They typically extend for hundreds to thousands of kilometers and have experienced tens to hundreds of kilometers of strike-slip displacement.These faults may appear as a single master fault or as complex fault systems with multiple branches.Their deep structures and deformation patterns at varying depths offer critical insights into the structure and rheological behavior of the continental lithosphere.Imaging fine-scale structures of continental transform faults via geophysical methods is crucial for understanding their nature and evolution.Seismic anisotropy results provide key constraints on their deep deformation characteristics.This paper reviews geophysical studies from typical continental transform fault regions and investigates their deep structure and deformation mechanisms by integrating geological and geodetic observations.Although these fault systems are structurally diverse,several common features emerge.(1)Nearly all continental transform faults cut through the entire crust and extend into the upper mantle,with significant seismic anisotropy observed within the fault zones.(2)Regardless of whether the fault is a single narrow structure or a branching system,uppercrustal segments typically form narrow zones of strain concentration where brittle friction accommodates slip and seismicity is concentrated.The shear zone broadens with depth,reaching tens of kilometers in width within the lithospheric mantle.(3)The width of a continental transform fault correlates with the nature of the lithosphere it cross-cuts.Narrow shear zones form in rigid and ancient lithosphere,otherwise,broader distributed deformation occurs.(4)Non-strike-slip components(compression or tension)significantly influence fault zone complexity.Recent ocean drilling programs have advanced understanding of oceanic transform faults,yet knowledge of continental transform fault structure and evolution remains limited.Advances in seismic imaging and observational techniques will enable higher-resolution characterization of these faults,providing new constraints on their seismic behavior and earthquake migration patterns. 展开更多
关键词 Continental transform fault Strike-slip fault fault zone structure Seismic anisotropy Structural deformation
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基于CNN-BiLSTM-Transformer的舰船中压直流全电推进系统故障诊断设计 被引量:1
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作者 张建良 韩涛 季瑞松 《实验技术与管理》 北大核心 2025年第1期11-18,共8页
针对舰船中压直流全电推进系统结构复杂度高、单元耦合性强、运行环境多变等特点造成的故障诊断准确性低和实时性差等问题,开展了基于CNN-BiLSTM-Transformer的故障诊断设计。首先,基于卷积神经网络CNN构建单点特征级联网络,开展单一时... 针对舰船中压直流全电推进系统结构复杂度高、单元耦合性强、运行环境多变等特点造成的故障诊断准确性低和实时性差等问题,开展了基于CNN-BiLSTM-Transformer的故障诊断设计。首先,基于卷积神经网络CNN构建单点特征级联网络,开展单一时刻下故障信号空间特征的深入提取,以提升故障特征提取的有效性;其次,以双向长短期记忆网络BiLSTM为核心设计多点特征依赖网络,利用门控机制和双向时序学习机制,实现故障信号在多个时刻之间特征依赖关系的有效学习,以提升故障诊断的准确性;然后,以Transformer为核心建立序列特征并行处理网络,通过自注意力机制实现对故障特征上下文关系的精确刻画,进而利用多头注意力机制实现特征序列的并行处理,以提升故障诊断的实时性;最后,设计舰船中压直流全电推进系统故障诊断实验方案,并开展不同故障模式下的诊断性能评估。该文方法在多种故障模式下诊断准确率和实时性均优于现有的主流故障诊断方法,有助于为舰船中压直流全电推进系统的安全运行提供更有力的技术保障。 展开更多
关键词 舰船 中压直流 全电推进系统 故障诊断 transformER
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基于CNN-Transformer模型的堆垛机振动故障诊断研究
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作者 孙晓霞 王博 孟文俊 《起重运输机械》 2025年第20期78-85,共8页
堆垛机在实际运行过程中存在缺乏故障数据的挑战,且利用阈值设定判断堆垛机的运行情况误差较大。为了解决此问题,文中提出一种多源数据样本融合到结构映射策略,利用卷积神经网络的局部特征提取能力与Transformer的时序建模优势构建了CNN... 堆垛机在实际运行过程中存在缺乏故障数据的挑战,且利用阈值设定判断堆垛机的运行情况误差较大。为了解决此问题,文中提出一种多源数据样本融合到结构映射策略,利用卷积神经网络的局部特征提取能力与Transformer的时序建模优势构建了CNN-Transformer模型进行堆垛机的振动故障识别。实验结果表明:该模型展现出优良的故障识别精度与泛化性能。 展开更多
关键词 堆垛机 多源数据融合 CNN transformer 振动故障诊断
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Improved BP Neural Network for Transformer Fault Diagnosis 被引量:42
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作者 SUN Yan-jing ZHANG Shen MIAO Chang-xin LI Jing-meng 《Journal of China University of Mining and Technology》 EI 2007年第1期138-142,共5页
The back propagation (BP)-based artificial neural nets (ANN) can identify complicated relationships among dissolved gas contents in transformer oil and corresponding fault types, using the highly nonlinear mapping nat... The back propagation (BP)-based artificial neural nets (ANN) can identify complicated relationships among dissolved gas contents in transformer oil and corresponding fault types, using the highly nonlinear mapping nature of the neural nets. An efficient BP-ALM (BP with Adaptive Learning Rate and Momentum coefficient) algorithm is proposed to reduce the training time and avoid being trapped into local minima, where the learning rate and the momentum coefficient are altered at iterations. We developed a system of transformer fault diagnosis based on Dissolved Gases Analysis (DGA) with a BP-ALM algorithm. Training patterns were selected from the results of a Refined Three-Ratio method (RTR). Test results show that the system has a better ability of quick learning and global convergence than other methods and a superior performance in fault diagnosis compared to convectional BP-based neural networks and RTR. 展开更多
关键词 transformer fault diagnosis BACK-PROPAGATION artificial neural network momentum coefficient
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Application of Wavelets Transform to Fault Detection in Rotorcraft UAV Sensor Failure 被引量:8
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作者 Jun-tong Qi Jian-da Han 《Journal of Bionic Engineering》 SCIE EI CSCD 2007年第4期265-270,共6页
This paper describes a novel wavelet-based approach to the detection of abrupt fault of Rotorcrafi Unmanned Aerial Vehicle (RUAV) sensor system. By use of wavelet transforms that accurately localize the characterist... This paper describes a novel wavelet-based approach to the detection of abrupt fault of Rotorcrafi Unmanned Aerial Vehicle (RUAV) sensor system. By use of wavelet transforms that accurately localize the characteristics of a signal both in the time and frequency domains, the occurring instants of abnormal status of a sensor in the output signal can be identified by the multi-scale representation of the signal. Once the instants are detected, the distribution differences of the signal energy on all decomposed wavelet scales of the signal before and after the instants are used to claim and classify the sensor faults. 展开更多
关键词 RUAV wavelet transform fault detection sensor failure
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多变量时序标记Transformer及其在电潜泵故障诊断中的应用 被引量:6
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作者 李康 李爽 +2 位作者 高小永 李强 张来斌 《控制与决策》 北大核心 2025年第4期1145-1153,共9页
电潜泵故障诊断对于确保安全可靠采油至关重要,但是,电潜泵数据呈现出的多变量、非线性和动态变化等复杂特性为该任务带来了严峻挑战.近年来,深度学习在复杂数据特征提取方面表现出的强大能力催生了一系列基于神经网络的电潜泵故障诊断... 电潜泵故障诊断对于确保安全可靠采油至关重要,但是,电潜泵数据呈现出的多变量、非线性和动态变化等复杂特性为该任务带来了严峻挑战.近年来,深度学习在复杂数据特征提取方面表现出的强大能力催生了一系列基于神经网络的电潜泵故障诊断方法.然而,多数方法忽略了电潜泵数据的动态特性以及长时依赖特征提取困难的问题.针对上述问题,提出一种多变量时序标记Transformer神经网络来实现电潜泵故障诊断.该模型设计新的多变量时间序列标记策略,继承引入多头注意力机制和残差连接的传统Transformer神经网络编码器在长时依赖特征提取方面的优势,用前向神经网络替代传统Transformer神经网络解码器来简化模型复杂度.通过对油田现场故障数据分析,验证所提出方法的有效性.实验结果表明,所提出方法实现了10类电潜泵故障的精确诊断,相比于流行的深度学习方法诊断性能更优. 展开更多
关键词 电潜泵 transformer神经网络 深度学习 特征提取 故障诊断 多变量时序标记
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Geochronology Constraints on Transformation Age from Ductile to Brittle Deformation of the Shangma Fault and Its Tectonic Significance,Dabieshan,Central China 被引量:7
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作者 Wang Guocan Wang Pu +2 位作者 Liu Chao Wang An Ye Runqing 《Journal of China University of Geosciences》 SCIE CSCD 2008年第2期97-109,共13页
By a detailed investigation of geometry and kinematics of the Shangma (商麻) fault in Dabieshan (大别山), three different crust levels of extension movement have been recognized in sequence from the deep to the sh... By a detailed investigation of geometry and kinematics of the Shangma (商麻) fault in Dabieshan (大别山), three different crust levels of extension movement have been recognized in sequence from the deep to the shallow:① low-angle ductile detachment shearing with top to the NW; ② low-angle normal fault with top to the NW or NWW in brittle or brittle-ductile transition domain; ③ high-angle brittle normal fault with top to the W or NWW. Two samples were chosen for zircon U-Pb age dating to constrain the activity age of the Shangma fault. A bedding intrusive granitoid pegmatite vein that is parallel to the foliation of the low-angle ductile detachment shear zone of the country rock exhibits a lotus-joint type of boudinage deformation, showing syn-tectonic emplacing at the end of the ductile deformation period and deformation in the brittle-ductile transition domain. The zircon U-Pb dating of this granitoid pegmatite vein gives an age of (125.9±4.2) Ma, which expresses the extension in the brittle-ductile transition domain of the Shangma fault. The other sample, which is collected from a granite pluton cutting the foliation of the low-angle ductile detachment shear zone, gives a zircon U-Pb age of (118.8±4.1) Ma, constraining the end of the ductile detachment shearing. Then the transformation age from ductile to brittle deformation can be constrained between 126-119 Ma. Combined with the previous researches, the formation of the Luotian (罗田) dome, which is locatedto the east of the Shangma fault, can be constrained during 150-126 Ma. This study gives a new time constraint to the evolution of the Dabie orogenic belt. 展开更多
关键词 DABIESHAN Shangma fault transformation age from ductile to brittle deformation zircon U-Pb dating.
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KNN-Transformer:基于K近邻分类的Transformer算法在滚动轴承故障诊断中的应用
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作者 王军锋 张彪 +5 位作者 张昊 田开庆 田新民 王泰旭 罗凌燕 赵悦 《机电工程技术》 2025年第18期160-166,共7页
针对滚动轴承故障诊断中样本呈现全局冗余、局部稀疏的小样本问题,提出KNN-Transformer算法,融合Transformer自注意力机制与K近邻(KNN)算法。该算法通过Transformer编码器提取振动信号的层次化特征,利用KNN分类器替代传统Softmax层,解... 针对滚动轴承故障诊断中样本呈现全局冗余、局部稀疏的小样本问题,提出KNN-Transformer算法,融合Transformer自注意力机制与K近邻(KNN)算法。该算法通过Transformer编码器提取振动信号的层次化特征,利用KNN分类器替代传统Softmax层,解决小样本数据集场景下Softmax线性分类器易过拟合的问题。实验基于滚动轴承四自由度动力学仿真数据及西储大学(CWRU)轴承故障数据集展开。在仿真数据中,模型训练集与测试集准确率分别达100%和97%,AUC值为0.98,表明其对复杂振动信号的特征解析能力;在西储大学数据集中,测试集准确率达100%,AUC值为1,获得了较好的故障识别效果。通过对比实验显示,KNN-Transformer在精准率、召回率等指标上均优于单一KNN或Transformer模型,验证了其在机械故障诊断中的有效性与鲁棒性,为智能诊断提供了新方法。 展开更多
关键词 滚动轴承故障诊断 KNN-transformer 自注意力机制 K近邻算法 小样本数据
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Power Transformer Fault Diagnosis Using Fuzzy Reasoning Spiking Neural P Systems 被引量:1
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作者 Yousif Yahya Ai Qian Adel Yahya 《Journal of Intelligent Learning Systems and Applications》 2016年第4期77-91,共15页
This paper presents an intelligent technique to fault diagnosis of power transformers dissolved and free gas analysis (DGA). Fuzzy Reasoning Spiking neural P systems (FRSN P systems) as a membrane computing with distr... This paper presents an intelligent technique to fault diagnosis of power transformers dissolved and free gas analysis (DGA). Fuzzy Reasoning Spiking neural P systems (FRSN P systems) as a membrane computing with distributed parallel computing model is powerful and suitable graphical approach model in fuzzy diagnosis knowledge. In a sense this feature is required for establishing the power transformers faults identifications and capturing knowledge implicitly during the learning stage, using linguistic variables, membership functions with “low”, “medium”, and “high” descriptions for each gas signature, and inference rule base. Membership functions are used to translate judgments into numerical expression by fuzzy numbers. The performance method is analyzed in terms for four gas ratio (IEC 60599) signature as input data of FRSN P systems. Test case results evaluate that the proposals method for power transformer fault diagnosis can significantly improve the diagnosis accuracy power transformer. 展开更多
关键词 Dissolved Gas Analysis fault Diagnosis Fuzzy Reasoning Power transformer faults Spiking Neural P System
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基于融合卷积Transformer的航空发动机故障诊断 被引量:2
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作者 赵洪利 杨佳强 《北京航空航天大学学报》 北大核心 2025年第4期1117-1126,共10页
航空发动机长期处于恶劣的气路环境下工作会面临腐蚀、侵蚀等问题,且故障参数特征不明显,因此,精准的航空发动机故障诊断方法对保证飞机安全运行具有重要意义。为提高预测准确性,提出了一种基于融合卷积Transformer的航空发动机故障诊... 航空发动机长期处于恶劣的气路环境下工作会面临腐蚀、侵蚀等问题,且故障参数特征不明显,因此,精准的航空发动机故障诊断方法对保证飞机安全运行具有重要意义。为提高预测准确性,提出了一种基于融合卷积Transformer的航空发动机故障诊断方法。利用自注意力机制提取有用特征,抑制冗余信息,并将最大池化层引入Transformer模型中,进一步降低模型内存消耗及参数量,缓解过拟合现象。采用基于GasTurb建模的涡扇发动机仿真数据集进行验证,结果与Transformer模型和反向传播(BP)神经网络、卷积神经网络(CNN)、循环神经网络(RNN)等传统深度学习模型相比,准确率分别提高了6.552%和28.117%、13.189%、10.29%,证明了所提方法的有效性,可为航空发动机故障诊断提供一定的参考。 展开更多
关键词 航空发动机 故障诊断 自注意力机制 融合卷积transformer 深度神经网络
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Assessment Method for the Reliability of Power Transformer Based on Fault-tree Analysis 被引量:15
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作者 WANG You-yuan ZHOU Jing-jing CHEN Wei-gen DU Lin CHEN Ren-gang 《高电压技术》 EI CAS CSCD 北大核心 2009年第3期514-520,共7页
关键词 电力变压器 供电系统 故障树分析 失效模式
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Fault Attribute Reduction of Oil Immersed Transformer Based on Improved Imperialist Competitive Algorithm
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作者 Li Bian Hui He +1 位作者 Hongna Sun Wenjing Liu 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2020年第6期83-90,共8页
The original fault data of oil immersed transformer often contains a large number of unnecessary attributes,which greatly increases the elapsed time of the algorithm and reduces the classification accuracy,leading to ... The original fault data of oil immersed transformer often contains a large number of unnecessary attributes,which greatly increases the elapsed time of the algorithm and reduces the classification accuracy,leading to the rise of the diagnosis error rate.Therefore,in order to obtain high quality oil immersed transformer fault attribute data sets,an improved imperialist competitive algorithm was proposed to optimize the rough set to discretize the original fault data set and the attribute reduction.The feasibility of the proposed algorithm was verified by experiments and compared with other intelligent algorithms.Results show that the algorithm was stable at the 27th iteration with a reduction rate of 56.25%and a reduction accuracy of 98%.By using BP neural network to classify the reduction results,the accuracy was 86.25%,and the overall effect was better than those of the original data and other algorithms.Hence,the proposed method is effective for fault attribute reduction of oil immersed transformer. 展开更多
关键词 transformer fault improved imperialist competitive algorithm rough set attribute reduction BP neural network
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Transformer Fault Analysis Based on Bayesian Networks and Importance Measures
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作者 任方宇 司书宾 +1 位作者 蔡志强 张帅 《Journal of Shanghai Jiaotong university(Science)》 EI 2015年第3期353-357,共5页
Complex environment stresses bring many uncertainties to transformer fault. The Bayesian network(BN) can represent prior knowledge in the form of probability which makes it an effective tool to deal with the uncertain... Complex environment stresses bring many uncertainties to transformer fault. The Bayesian network(BN) can represent prior knowledge in the form of probability which makes it an effective tool to deal with the uncertain problems. This paper established a BN model for the transformer fault diagnosis with practical operation dataset and expert knowledge. Then importance measures are introduced to indentify the key attributes which affect the results of transformer diagnosis most. Moreover, a strategy was proposed to reduce the number of attribute in transformer fault detection and the resource cost was saved. At last, a diagnosis case of practical transformer was implemented to verify the effectiveness of this method. 展开更多
关键词 transformER fault diagnosis Bayesian network(BN) importance measures
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Generalized Demodulation Transform for Bearing Fault Diagnosis Under Nonstationary Conditions and Gear Noise Interferences 被引量:3
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作者 Dezun Zhao Jianyong Li +1 位作者 Weidong Cheng Zhiyang He 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2019年第1期79-89,共11页
It is a challenging issue to detect bearing fault under nonstationary conditions and gear noise interferences. Meanwhile, the application of the traditional methods is limited by their deficiencies in the aspect of co... It is a challenging issue to detect bearing fault under nonstationary conditions and gear noise interferences. Meanwhile, the application of the traditional methods is limited by their deficiencies in the aspect of computational accuracy and e ciency, or dependence on the tachometer. Hence, a new fault diagnosis strategy is proposed to remove gear interferences and spectrum smearing phenomenon without the tachometer and angular resampling technique. In this method, the instantaneous dominant meshing multiple(IDMM) is firstly extracted from the time-frequency representation(TFR) of the raw signal, which can be used to calculate the phase functions(PF) and the frequency points(FP). Next, the resonance frequency band excited by the faulty bearing is obtained by the band-pass filter. Furthermore, based on the PFs, the generalized demodulation transform(GDT) is applied to the envelope of the filtered signal. Finally, the target bearing is diagnosed by matching the peaks in the spectra of demodulated signals with the theoretical FPs. The analysis results of simulated and experimental signal demonstrate that the proposed method is an e ective and reliable tool for bearing fault diagnosis without the tachometer and the angular resampling. 展开更多
关键词 Bearing fault diagnosis GENERALIZED DEMODULATION transform NONSTATIONARY CONDITIONS Gear noise
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采用改进Transformer模型的滚动轴承声振信号故障诊断方法 被引量:5
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作者 施杰 张威 +2 位作者 李志 陈立畅 杨琳琳 《电子测量技术》 北大核心 2025年第11期105-116,共12页
现有故障诊断方法多采用“单信号-单模型”的专用架构,对不同传感信号需构建独立的诊断模型。这类方法在实际应用中存在模型泛化能力有限、跨信号类型适应性不足等问题。因此,本文提出了一种通过构建统一的深度网络诊断模型,来实现能同... 现有故障诊断方法多采用“单信号-单模型”的专用架构,对不同传感信号需构建独立的诊断模型。这类方法在实际应用中存在模型泛化能力有限、跨信号类型适应性不足等问题。因此,本文提出了一种通过构建统一的深度网络诊断模型,来实现能同时适用于振动与声学信号的智能诊断方法。首先,该方法采用改进淘金热优化算法和包络熵适应度函数来优化变分模态分解,实现变分模态分解中本征模态分量个数k和惩罚因子α自适应确定,再以平均峭度准则筛选变分模态分解分解后的本征模态分量,并使用改进的小波阈值去噪进行二次降噪和重构,以凸显声振信号中的故障特征。然后,在Transformer模型的基础上引入深度残差收缩网络,构建局部特征提取层,提高模型的局部特征提取能力;同时,设计了一种多尺度线性注意力机制来替换Transformer中的多头自注意力,降低模型计算复杂度,增强模型对长距离依赖的捕捉能力。最后,在自建的滚动轴承声振数据集上进行验证,实验结果表明,该方法在自建滚动轴承数据集上表现优异,对声学信号的诊断精度可达到90%,对振动信号的诊断精度达到了99.77%,均优于ResNet18、DRSN、VIT、MCSwin_T、WDCNN。 展开更多
关键词 滚动轴承声振信号 变分模态分解 小波阈值去噪 transformer 智能故障诊断
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