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Fault tolerant control with torque limitation based on fault mode for ten-phase permanent magnet synchronous motor 被引量:5
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作者 Guo Hong Xu Jinquan 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2015年第5期1464-1475,共12页
This paper proposes a novel fault tolerant control with torque limitation based on the fault mode for the ten-phase permanent magnet synchronous motor (PMSM) under various open-circuit and short-circuit fault condit... This paper proposes a novel fault tolerant control with torque limitation based on the fault mode for the ten-phase permanent magnet synchronous motor (PMSM) under various open-circuit and short-circuit fault conditions, which includes the optimal torque control and the torque limitation control based on the fault mode. The optimal torque control is adopted to guarantee the ripple-free electromagnetic torque operation for the ten-phase motor system under the post-fault condition. Furthermore, we systematically analyze the load capacity of the ten-phase motor system under different fault modes. And a torque limitation control approach based on the fault mode is proposed, which was not available earlier. This approach is able to ensure the safety operation of the faulted motor system in long operating time without causing the overheat fault. The simulation result confirms that the proposed fault tolerant control for the ten-phase motor system is able to guarantee the ripple-free electromagnetic torque and the safety operation in long operating time under the normal and fault conditions. 展开更多
关键词 fault mode fault tolerant Optimal torque control Permanent magnet motorTorque limitation
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Fault mode probability factor based fault-tolerant control for dissimilar redundant actuation system 被引量:1
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作者 Jun WANG Shaoping WANG +2 位作者 Xingjian WANG Mileta M.TOMOVIC Cun SHI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2018年第5期965-975,共11页
This paper presents a Fault Mode Probability Factor(FMPF) based Fault-Tolerant Control(FTC) strategy for multiple faults of Dissimilar Redundant Actuation System(DRAS)composed of Hydraulic Actuator(HA) and Ele... This paper presents a Fault Mode Probability Factor(FMPF) based Fault-Tolerant Control(FTC) strategy for multiple faults of Dissimilar Redundant Actuation System(DRAS)composed of Hydraulic Actuator(HA) and Electro-Hydrostatic Actuator(EHA). The long-term service and severe working conditions can result in multiple gradual faults which can ultimately degrade the system performance, resulting in the system model drift into the fault state characterized with parameter uncertainty. The paper proposes to address this problem by using the historical statistics of the multiple gradual faults and the proposed FMPF to amend the system model with parameter uncertainty. To balance the system model precision and computation time, a Moving Window(MW) method is used to determine the applied historical statistics. The FMPF based FTC strategy is developed for the amended system model where the system estimation and Linear Quadratic Regulator(LQR) are updated at the end of system sampling period. The simulations of DRAS system subjected to multiple faults have been performed and the results indicate the effectiveness of the proposed approach. 展开更多
关键词 Dissimilar redundant actuation system fault mode probability factor fault-tolerant control Linear quadratic regulator Monte Carlo simulation Moving window
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Sliding Mode Fault Tolerant Attitude Control Scheme for Spacecraft with Actuator Faults 被引量:5
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作者 CAO Teng GONG Huajun HAN Bing 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2019年第1期119-127,共9页
An active fault tolerant control scheme is investigated for the attitude control systems of spacecraft with external disturbance and actuator faults by using the sliding mode technique. Firstly,the dynamic equations a... An active fault tolerant control scheme is investigated for the attitude control systems of spacecraft with external disturbance and actuator faults by using the sliding mode technique. Firstly,the dynamic equations and kinematic equations of spacecraft are given. For the dynamic mode of spacecraft in faulty case,a fault diagnosis component is used for fault detection and estimation by using a nonlinear observer. According to the fault estimation information obtained during the fault diagnosis,the fault tolerant control scheme is developed by adopting the backstepping sliding mode control technique. Meanwhile,the Lyapunov theory is used to analyze the stability of the closed-loop attitude systems. Finally,simulation results for the attitude dynamics models show the feasibility of the proposed fault tolerant scheme. 展开更多
关键词 fault tolerant CONTROL fault estimation actuator faults SLIDING mode CONTROL
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The Study of Overhead Line Fault Probability Model Based on Fuzzy Theory 被引量:2
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作者 Jing Li Lijie Chen +1 位作者 Donghong Zhao Yadi Luo 《Energy and Power Engineering》 2013年第4期625-629,共5页
In the background of the design and construction of Smart Grid Operation Supporting System for District Power Networks, this paper established the weighted fault probability model of the overhead line which is based o... In the background of the design and construction of Smart Grid Operation Supporting System for District Power Networks, this paper established the weighted fault probability model of the overhead line which is based on equipment operating status, utility theory and fuzzy theory. In this model, the proper membership function is adopted to describe the influence of lightning, wind speed, line ice and temperature, and the outage rate of overhead line, derived from historical statistics, is amended. Based on this model, the power supply risk analysis software is developed to calculate the online risk indicators of district grid, and provide real-time decision support information based on risk theory for scheduling operations personnel. 展开更多
关键词 Power System fault PROBABILITY mode the OVERHEAD LINE RISK Assessment
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Adaptive sliding mode backstepping control for near space vehicles considering engine faults 被引量:5
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作者 ZHAO Jing JIANG Bin +2 位作者 XIE Fei GAO Zhifeng XU Yufei 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2018年第2期343-351,共9页
A fault tolerant control methodology based adaptive sliding mode(ASM) backstepping is proposed for near space vehicle(NSV) attitude control system under engine faults. The proposed scheme combined adaptive backsteppin... A fault tolerant control methodology based adaptive sliding mode(ASM) backstepping is proposed for near space vehicle(NSV) attitude control system under engine faults. The proposed scheme combined adaptive backstepping with the sliding mode control strategy could guarantee the system’s stability and track desired signals under external disturbances and engine faults. Firstly, attitude mode description and the engine faulty model are given. Secondly, a nominal control law is designed.Thirdly, a sliding mode observer is given later in order to estimate both the information of engine faults and external disturbances. An adaptive sliding mode technology based on the previous nominal control law is developed via updating faulty parameters. Finally,analyze the system’s fault-tolerant performance and reliability through experiment simulation, which verifies the proposed design of fault-tolerant control can tolerate engine faults, as well as the strong robustness for external disturbance. 展开更多
关键词 fault tolerant control adaptive sliding mode(ASM) engine fault near space vehicle(NSV)
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Relationships between In SAR Seismic Deformation and Fault Motion Sense,Fault Strike,and Ascending/Descending Modes 被引量:2
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作者 QU Chunyan SHAN Xinjian +2 位作者 ZHAO Dezheng ZHANG Guohong SONG Xiaogang 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2017年第1期93-108,共16页
Based on the working principle of satellite radars, the earthquake deformation field measured by interferometric synthetic aperture(InSAR) is the projection of ground displacement associated with the seismogenic fau... Based on the working principle of satellite radars, the earthquake deformation field measured by interferometric synthetic aperture(InSAR) is the projection of ground displacement associated with the seismogenic fault in the line of sight(LOS) of the satellite. However, LOS projections are complex, and are not only related to the ascending/descending modes and incidence angles of SAR data, but also related to the strike and motion senses of the fault. Even for the same earthquake, the LOS deformation derived from different ascending/descending data can be almost identical in one case, but quite different in another case, which makes the interpretation of InSAR seismic deformation and its comparison with field observations difficult. In this study, we undertook a quantitative analysis of the relationships between LOS observation sensitivity of InSAR and fault strike, fault motion sense, and ascending/descending modes, as well as 3D deformation fields. We studied the features and differences of the LOS deformation fields in different types of earthquakes using ascending/descending modes, with a particularly detailed analysis of the relations for a strikeslip type of earthquake. We also summarized the characteristics of LOS deformation fields of faults with different strikes and optimal observational data modes. Taking the strike-slip Yushu earthquake and the normal Gaize event as examples, we used SAR data of the ascending/descending modes to verify the results of quantitative calculations. These analyses will not only provide a more reasonable interpretation of InSAR seismic deformation fields and but also help understand the differences of seismic deformation fields revealed by data with different observational modes, therefore promoting the application of InSAR technology in seismology. 展开更多
关键词 InSAR fault earthquake DEFORMATION ascending/descending modes
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Adaptive Type-2 Fuzzy Sliding Mode Controller for SISO Nonlinear Systems Subject to Actuator Faults 被引量:1
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作者 Meriem Benbrahim Najib Essounbouli +1 位作者 Abdelaziz Hamzaoui Ammar Betta 《International Journal of Automation and computing》 EI CSCD 2013年第4期335-342,共8页
In this paper, an adaptive type-2 fuzzy sliding mode control to tolerate actuator faults of unknown nonlinear systems with external disturbances is presented. Based on a redundant actuation structure, a novel type-2 a... In this paper, an adaptive type-2 fuzzy sliding mode control to tolerate actuator faults of unknown nonlinear systems with external disturbances is presented. Based on a redundant actuation structure, a novel type-2 adaptive fuzzy fault tolerant control scheme is proposed using sliding mode control. Two adaptive type-2 fuzzy logic systems are used to approximate the unknown functions, whose adaptation laws are deduced from the stability analysis. The proposed approach allows to ensure good tracking performance despite the presence of actuator failures and external disturbances, as illustrated through a simulation example. 展开更多
关键词 Type-2 fuzzy systems fault tolerant control sliding mode control adaptive system actuator faults.
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Optimal selection of tests for fault detection and isolation in multi-operating mode system 被引量:3
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作者 LIU Yuanhong 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2019年第2期425-434,共10页
The complex systems are often in the structure of multi-operating modes, and the components implementing system functions are different under different operation modes, which results in the problems that components of... The complex systems are often in the structure of multi-operating modes, and the components implementing system functions are different under different operation modes, which results in the problems that components often fail in different operating modes, faults can be only detected in specified operating modes, tests can be available in specified operating modes,and the cost and efficiency of detecting and isolating faults are different under different operating modes and isolation levels. Aiming at these problems, an optimal test selection method for fault detection and isolation in the multi-operating mode system is proposed by using the fault pair coding and rollout algorithm. Firstly,the faults in fault-test correlation matrices under different operating modes are combined to fault-pairs, which is used to construct the fault pair-test correlation matrices under different operating modes.Secondly, the final fault pair-test correlation matrix of the multioperating mode system is obtained by operating the fault pair-test correlation matrices under different operating modes. Based on the final fault pair-test correlation matrix, the necessary tests are selected by the rollout algorithm orderly. Finally, the effectiveness of the proposed method is verified by examples of the optimal test selection in the multi-operating mode system with faults isolated to different levels. The result shows that the proposed method can effectively mine the fault detection and isolation ability of tests and it is suitable for the optimal test selection of the multi-operating mode system with faults isolated to the replacement unit and specific fault. 展开更多
关键词 operating mode test optimization fault PAIR CODING fault detection fault ISOLATION
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A New Method of Wind Turbine Bearing Fault Diagnosis Based on Multi-Masking Empirical Mode Decomposition and Fuzzy C-Means Clustering 被引量:12
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作者 Yongtao Hu Shuqing Zhang +3 位作者 Anqi Jiang Liguo Zhang Wanlu Jiang Junfeng Li 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2019年第3期156-167,共12页
Based on Multi-Masking Empirical Mode Decomposition (MMEMD) and fuzzy c-means (FCM) clustering, a new method of wind turbine bearing fault diagnosis FCM-MMEMD is proposed, which can determine the fault accurately and ... Based on Multi-Masking Empirical Mode Decomposition (MMEMD) and fuzzy c-means (FCM) clustering, a new method of wind turbine bearing fault diagnosis FCM-MMEMD is proposed, which can determine the fault accurately and timely. First, FCM clustering is employed to classify the data into different clusters, which helps to estimate whether there is a fault and how many fault types there are. If fault signals exist, the fault vibration signals are then demodulated and decomposed into different frequency bands by MMEMD in order to be analyzed further. In order to overcome the mode mixing defect of empirical mode decomposition (EMD), a novel method called MMEMD is proposed. It is an improvement to masking empirical mode decomposition (MEMD). By adding multi-masking signals to the signals to be decomposed in different levels, it can restrain low-frequency components from mixing in highfrequency components effectively in the sifting process and then suppress the mode mixing. It has the advantages of easy implementation and strong ability of suppressing modal mixing. The fault type is determined by Hilbert envelope finally. The results of simulation signal decomposition showed the high performance of MMEMD. Experiments of bearing fault diagnosis in wind turbine bearing fault diagnosis proved the validity and high accuracy of the new method. 展开更多
关键词 Wind TURBINE BEARING faultS diagnosis Multi-masking empirical mode decomposition (MMEMD) Fuzzy c-mean (FCM) clustering
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THE GROWTH MODE OF ALTUN FAULT AND IT'S DYNAMICS
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作者 Cui Junwen, Li Pengwu, Li Li (Institute of Geology, Chinese Academy of Geological Sciences, Beijing 100037,China) 《地学前缘》 EI CAS CSCD 2000年第S1期260-260,共1页
A set of ENE\|trending fault which locates in the rigid Tarim massif and flexible Qilian massif in the same dynamic system of the uplift of the Qinghai—Tibetan plateau is referred to as the Altun Fault (ALF). ALF dis... A set of ENE\|trending fault which locates in the rigid Tarim massif and flexible Qilian massif in the same dynamic system of the uplift of the Qinghai—Tibetan plateau is referred to as the Altun Fault (ALF). ALF displays a linear geometry or a geometry of overlapping of linear and arcuate segments and a growth and development process of the breakdown segment\|by\|segment, connection segment\|by\|segment and propagation gradually (northeastward migration of the northeast tip, southwestward growth of the southwest tip). The formation of the Altun fault began in the middle or upper Carboniferous. It was characteristic of the sinistral strike\|slip\|thrust before Eocene, of the thrust\|sinistral strike\|slip during Oligocene—Miocene, and of the normal slip, and thrust\|sinistral strike\|slip simultaneously since Miocene. 展开更多
关键词 Altun fault sinistral strike\|slip geometry growth mode o verstep THRUST sequence THRUST propagation transformation fault DYNAMICS mode l
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The Altun Fault: Its Geometry, Nature and Mode of Growth 被引量:5
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作者 崔军文 李莉 +4 位作者 杨经绥 岳永军 李朋武 张建新 陈文 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2001年第2期133-143,共11页
The Altun (or Altyn Tagh) fault displays a geometry of overlapping of linear and arcuate segments and shows strong inhomogeneity in time and space. It is a gigantic fault system with complex mechanical behaviours incl... The Altun (or Altyn Tagh) fault displays a geometry of overlapping of linear and arcuate segments and shows strong inhomogeneity in time and space. It is a gigantic fault system with complex mechanical behaviours including thrusting, sinistral strike slip and normal slip. The strike slip and normal slip mainly occurred in the Cretaceous—Cenozoic and Plio-Quaternary respectively, whereas the thrusting was a deformation event that has played a dominant role since the late Palaeozoic (for a duration of about 305 Ma). The formation of the Altun fault was related to strong inhomogeneous deformation of the massifs on its two sides (in the hinterland of the Altun Mountains contractional deformation predominated and in the Qilian massif thrust propagation was dominant). The fault experienced a dynamic process of successive break-up and connection of its segments and gradual propagation, which was synchronous with the development of an overstep thrust sequence in the Qilian massif and the uplift of the Qinghai-Tibet plateau. With southward propagation of the thrust sequence and continued uplift of the plateau, the NE tip of the Altun fault moved in a NE direction, while the SW tip grew in a SW direction. 展开更多
关键词 Altun (Altyn Tagh) fault thrust sequence propagation sinistral strike-slip mode of growth
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Sliding mode observer-based fault reconstruction for uncertain descriptor linear systems
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作者 于金泳 刘志远 《中南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2009年第S1期273-276,共4页
Fault detection and reconstruction of actuator faults for uncertain descriptor linear system based on a sliding mode observer was considered. The design algorithms of sliding mode observer for linear descriptor system... Fault detection and reconstruction of actuator faults for uncertain descriptor linear system based on a sliding mode observer was considered. The design algorithms of sliding mode observer for linear descriptor systems with faults and uncertain were given. The method uses H∞ concepts to design the observer gain such that L2 gain from the uncertainty to reconstruction error of fault was minimized. 展开更多
关键词 fault detection and reconstruction DESCRIPTOR system SLIDING mode OBSERVER L2 gain
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Adaptive Variational Mode Decomposition for Bearing Fault Detection
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作者 Xing Xing Ming Zhang Wilson Wang 《Journal of Signal and Information Processing》 2023年第2期9-24,共16页
Rolling element bearings are commonly used in rotary mechanical and electrical equipment. According to investigation, more than half of rotating machinery defects are related to bearing faults. However, reliable beari... Rolling element bearings are commonly used in rotary mechanical and electrical equipment. According to investigation, more than half of rotating machinery defects are related to bearing faults. However, reliable bearing fault detection still remains a challenging task, especially in industrial applications. The objective of this work is to propose an adaptive variational mode decomposition (AVMD) technique for non-stationary signal analysis and bearing fault detection. The AVMD includes several steps in processing: 1) Signal characteristics are analyzed to determine the signal center frequency and the related parameters. 2) The ensemble-kurtosis index is suggested to decompose the target signal and select the most representative intrinsic mode functions (IMFs). 3) The envelope spectrum analysis is performed using the selected IMFs to identify the characteristic features for bearing fault detection. The effectiveness of the proposed AVMD technique is examined by experimental tests under different bearing conditions, with the comparison of other related bearing fault techniques. 展开更多
关键词 Bearing fault Detection Vibration Signal Analysis Intrinsic mode Functions Variational mode Decomposition
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永磁同步电机非线性故障估计滑模观测器设计
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作者 刘勇求 《数学的实践与认识》 北大核心 2026年第1期111-122,共12页
针对永磁同步电机定子绕组断路故障估计问题,提出了采用非线性滑模观测器得到的电机故障估计方案.首先分析并构建了永磁同步电机的强非线性特性故障模型;其次,分析了永磁同步电机的非线性能观性并得到了局部弱能观性结论,考虑定子绕组... 针对永磁同步电机定子绕组断路故障估计问题,提出了采用非线性滑模观测器得到的电机故障估计方案.首先分析并构建了永磁同步电机的强非线性特性故障模型;其次,分析了永磁同步电机的非线性能观性并得到了局部弱能观性结论,考虑定子绕组断路故障未知等前提,提出了包含自适应律的永磁同步电机非线性滑模故障估计观测器设计程式,结合状态估计误差方程给出基于线性矩阵不等式的观测器增益设计程式;最后,利用滑模等价输出误差注入理论给出电机故障估计程式,并开展了仿真算例和实验验证研究,结果表明,所提故障估计方案能在短时间内实现有效估计,且断路故障估计误差较小,满足工程应用需求. 展开更多
关键词 永磁同步电机 滑模观测器 故障估计 断路故障 非线性
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基于VMD和高频能量熵的飞机交流电气系统电弧故障识别
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作者 崔芮华 施宝旭 姚俊亭 《电力电子技术》 2026年第3期109-115,共7页
当航空线缆出现电弧故障后,电弧的持续燃烧可能会造成重大事故。又因为线缆之间串话干扰现象的存在,使得串扰容易被误诊为电弧故障,造成误判。针对此问题,本文提出一种可以识别电弧故障,同时防止串扰被误判的新方法。该方法能够对电流... 当航空线缆出现电弧故障后,电弧的持续燃烧可能会造成重大事故。又因为线缆之间串话干扰现象的存在,使得串扰容易被误诊为电弧故障,造成误判。针对此问题,本文提出一种可以识别电弧故障,同时防止串扰被误判的新方法。该方法能够对电流信号进行自适应选取最佳惩罚参数和分解个数,对信号进行变分模态分解(VMD),对分解后得到的本征模态函数(IMF)分析,提取能够反映故障电流信号的高频IMF,计算IMF的能量熵作为特征量,通过高频信号能量熵与基准值相减得到差值,并导入支持向量机(SVM)中进行分类。结果表明这种方法能够有效地识别电弧故障,同时防止单相串扰和三相串扰可能造成的误判。 展开更多
关键词 电弧故障 串话干扰 变分模态分解 能量熵
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基于TVF-EMD与CYCBD的滚动轴承故障特征提取方法
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作者 瞿红春 詹亦宏 +2 位作者 刘旭晖 段淦森 台合泽 《航空发动机》 北大核心 2026年第1期29-37,共9页
针对航空发动机转子系统中滚动轴承故障在低信噪比环境下特征提取困难的问题,提出了一种基于时变滤波经验模态分解(TVF-EMD)和最大2阶循环平稳盲解卷积(CYCBD)的故障特征提取方法。为减弱故障信号的非线性和非平稳性,采用白鲸优化算法(B... 针对航空发动机转子系统中滚动轴承故障在低信噪比环境下特征提取困难的问题,提出了一种基于时变滤波经验模态分解(TVF-EMD)和最大2阶循环平稳盲解卷积(CYCBD)的故障特征提取方法。为减弱故障信号的非线性和非平稳性,采用白鲸优化算法(BWO)对TVF-EMD的分解参数进行优化,通过包络谱峰值因子筛选出包含故障冲击特征的固有模态分量,并重构相关信号。设置CYCBD算法的滤波器长度和循环频率搜索范围,以包络谱谐波因子作为适应度函数,采用BWO选取最优参数组合,对重构信号进行解卷积运算,通过包络谱分析提取信号故障特征频率,使用故障仿真信号与轴承试验台数据集验证该方法的有效性。结果表明:该方法可提取仿真信号故障频率为120 Hz、轴承试验台故障频率为115.6 Hz,在噪声背景下提取轴承微弱故障特征,提高了轴承故障诊断准确性,通过结合TVF-EMD降噪技术与CYCBD方法,为滚动轴承故障诊断提供了一种新的有效方案。 展开更多
关键词 故障特征提取 滚动轴承 时变滤波经验模态分解 最大2阶循环平稳盲解卷积 故障诊断 航空发动机
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基于参数优化VMD及改进CNN的风电齿轮故障诊断方法
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作者 刘磊 穆塔里夫·阿赫迈德 +1 位作者 木巴来克·都尕买提 邵曾智 《新疆大学学报(自然科学版中英文)》 2026年第1期38-50,共13页
风电齿轮因长期高速运转且运行环境复杂,早期故障信号特征微弱易被掩盖,致使传统故障诊断方法精度较低.为解决此问题,本文提出一种基于改进旗鱼算法(ISFO)优化变分模态分解(VMD)与卷积神经网络(CNN)的风电齿轮故障诊断方法.首先,将Logis... 风电齿轮因长期高速运转且运行环境复杂,早期故障信号特征微弱易被掩盖,致使传统故障诊断方法精度较低.为解决此问题,本文提出一种基于改进旗鱼算法(ISFO)优化变分模态分解(VMD)与卷积神经网络(CNN)的风电齿轮故障诊断方法.首先,将Logistic混沌映射初始化、Lévy飞行理论和遗传算法优化理论引入旗鱼算法(SFO)中,提出了基于混合策略的ISFO算法,有效解决了算法的局部最优问题.其次,利用ISFO算法优化VMD参数分解信号,提取相关系数最大模态分量的故障特征信息,并利用短时傅里叶变换(STFT)构建时频图.最后,将时频图输入优化后的CNN训练以完成故障诊断分类.实验对比和分析表明,所提方法在公共数据集和自测数据集上均表现出较高的诊断精度,平均准确率达98.67%,能够有效解决风电齿轮故障诊断问题. 展开更多
关键词 风电齿轮 故障诊断 改进旗鱼算法 变分模态分解 卷积神经网络
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基于时频融合的改进CNN模型增强轴承故障跨工况诊断性能
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作者 刘旭波 孙极智 +1 位作者 胡德威 施先东 《南昌大学学报(工科版)》 2026年第1期10-19,共10页
为提高轴承故障诊断模型的跨工况诊断效果,本文提出了一种基于快速傅里叶变换和变分模态分解并与基于通道注意力机制改进的卷积神经网络相结合的轴承故障诊断方法。将原始振动信号分别进行快速傅里叶变换以及变分模态分解处理后再进行... 为提高轴承故障诊断模型的跨工况诊断效果,本文提出了一种基于快速傅里叶变换和变分模态分解并与基于通道注意力机制改进的卷积神经网络相结合的轴承故障诊断方法。将原始振动信号分别进行快速傅里叶变换以及变分模态分解处理后再进行特征堆叠,然后将处理后的数据通过基于通道注意力机制改进的卷积神经网络进行训练完成对轴承故障诊断的分类。结果表明:与其他诊断方法相比,所提方法的识别精度在不同工况条件下准确率更高,达到了98.40%;在轴承齿轮混合故障中诊断率达到了67.32%;在噪声干扰情况下,诊断准确率达到了89.93%。 展开更多
关键词 故障诊断 快速傅里叶变换 变分模态分解 注意力机制 卷积神经网络
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基于INRBO优化FMD的风电齿轮箱故障诊断
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作者 龙霞飞 刘伟强 +4 位作者 罗朝旭 何志成 张彬 谢昕妤 伍席文 《智慧电力》 北大核心 2026年第1期93-101,共9页
针对行星齿轮箱故障特征提取困难的问题,提出一种改进牛顿拉夫逊算法(INRBO)优化特征模态分解(FMD)参数的齿轮箱故障诊断方法。首先,提出一种多策略改进方法以全面提升牛顿拉夫逊算法(NRBO)的寻优性能;然后,利用INRBO优化FMD自适应参数... 针对行星齿轮箱故障特征提取困难的问题,提出一种改进牛顿拉夫逊算法(INRBO)优化特征模态分解(FMD)参数的齿轮箱故障诊断方法。首先,提出一种多策略改进方法以全面提升牛顿拉夫逊算法(NRBO)的寻优性能;然后,利用INRBO优化FMD自适应参数,构建基于INRBO-FMD的风电齿轮箱故障诊断模型;最后,采用改进后的方法对齿轮箱原始振动信号进行自适应特征模态分解,开展行星齿轮箱的故障诊断研究。实验结果表明,所提INRBO-FMD方法能有效提取故障信号特征频率和倍频谐波成分,验证了该方法的准确性和实用性。 展开更多
关键词 齿轮箱 故障诊断 特征模态分解 牛顿拉夫逊优化算法 复合混沌映射 小生境技术
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基于FMD-MAK-CNN算法的轴承故障诊断
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作者 边豪杰 苏泓臣 +2 位作者 杨辰昕 于佳鑫 张宇宁 《排灌机械工程学报》 北大核心 2026年第1期100-108,共9页
针对轴承故障诊断准确率低的问题,提出了一种基于特征模态分解-最大自相关峭度-卷积神经网络(FMD-MAK-CNN)的轴承故障诊断模型.首先,利用特征模态分解(FMD)算法将轴承故障信号分解为若干个含有丰富故障特征的模态;其次,计算各模态的自... 针对轴承故障诊断准确率低的问题,提出了一种基于特征模态分解-最大自相关峭度-卷积神经网络(FMD-MAK-CNN)的轴承故障诊断模型.首先,利用特征模态分解(FMD)算法将轴承故障信号分解为若干个含有丰富故障特征的模态;其次,计算各模态的自相关峭度(AK),选取最大自相关峭度(MAK)对应的模态作为待分析信号,并根据其时域特征构建特征向量,将特征向量与信号标签组合构建特征向量矩阵;最后,将特征向量矩阵按照8∶2划分为训练集和测试集,输入卷积神经网络(CNN)中训练和测试,实现轴承故障诊断.通过轴承内圈和轴承外圈2组试验数据验证FMD-MAK-CNN模型的平均故障诊断准确率分别为97.50%和97.83%.在相同模型条件下,与EMD-MAK-CNN故障诊断模型相比,平均故障诊断准确率分别提高了16.17%和16.66%,与FMD-EE-CNN故障诊断模型相比,平均故障诊断准确率分别提高了16.67%和16.83%. 展开更多
关键词 故障诊断 特征模态分解 最大自相关峭度 时域特征 卷积神经网络
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