The success of deep transfer learning in fault diagnosis is attributed to the collection of high-quality labeled data from the source domain.However,in engineering scenarios,achieving such high-quality label annotatio...The success of deep transfer learning in fault diagnosis is attributed to the collection of high-quality labeled data from the source domain.However,in engineering scenarios,achieving such high-quality label annotation is difficult and expensive.The incorrect label annotation produces two negative effects:1)the complex decision boundary of diagnosis models lowers the generalization performance on the target domain,and2)the distribution of target domain samples becomes misaligned with the false-labeled samples.To overcome these negative effects,this article proposes a solution called the label recovery and trajectory designable network(LRTDN).LRTDN consists of three parts.First,a residual network with dual classifiers is to learn features from cross-domain samples.Second,an annotation check module is constructed to generate a label anomaly indicator that could modify the abnormal labels of false-labeled samples in the source domain.With the training of relabeled samples,the complexity of diagnosis model is reduced via semi-supervised learning.Third,the adaptation trajectories are designed for sample distributions across domains.This ensures that the target domain samples are only adapted with the pure-labeled samples.The LRTDN is verified by two case studies,in which the diagnosis knowledge of bearings is transferred across different working conditions as well as different yet related machines.The results show that LRTDN offers a high diagnosis accuracy even in the presence of incorrect annotation.展开更多
The success of a software development project requires the early objective determination of the project’s correctness or incorrectness and the identification of the most effective solution for project management. How...The success of a software development project requires the early objective determination of the project’s correctness or incorrectness and the identification of the most effective solution for project management. However, few studies have been conducted on the reliable quantitative early judgment of correctness or incorrectness. In recent years, the collection and accumulation of actual attribute data from Japanese domestic software development projects have been conducted by the Software Engineering Centre of the Information-Technology Promotion Agency of Japan. In a previous article, we proposed a precise definition of project correctness or incorrectness and identified the important factors in successful projects;we also proposed a quantitative decision-making method for judging project correctness or incorrectness objectively and quantitatively on the basis of discriminant analysis using project completion attribute data. On the basis of the previous results, we propose a quantitative decision-making technique for the early judging of project correctness or incorrectness based on the attribute data of design stage as early stage of development.展开更多
It is common that translators always meet polysemy in the process of translation work. Polysemy has become a difficultpart in English-Chinese translation and there are many incorrect translations of polysemy in Englis...It is common that translators always meet polysemy in the process of translation work. Polysemy has become a difficultpart in English-Chinese translation and there are many incorrect translations of polysemy in English-Chinese translation. In orderto resolve this translation difficult, this essay mainly analyzes the reasons of the form of polysemy and the reason causes the incor-rect translation and based on that analysis finally put forward some advice.展开更多
介绍了国家电网公司近10年来(2006—2015)在继电保护领域取得的成果,综合分析了国家电网公司220 k V及以上电压等级交流系统继电保护装置的装备和运行情况,详细介绍了装置微机化率、双重化率、国产化率的发展情况,对近10年来继电保护装...介绍了国家电网公司近10年来(2006—2015)在继电保护领域取得的成果,综合分析了国家电网公司220 k V及以上电压等级交流系统继电保护装置的装备和运行情况,详细介绍了装置微机化率、双重化率、国产化率的发展情况,对近10年来继电保护装置动作情况、不正确动作原因以及采用"常规互感器+合并单元"方式的智能变电站220 k V及以上电压等级继电保护装置在2014年各类型线路故障中的动作时间进行了深入分析。选取了由于保护装置原理缺陷、通道、运维等方面问题造成的5次典型性保护不正确事件进行分析。在此基础上,针对继电保护装置的生产制造、基建调试、运行维护以及智能变电站等方面提出了有效建议,并展望了"十三五"期间保护装置就地化、小型化、智能化运维体系等继电保护关键技术。展开更多
为全面了解国家电网公司220 k V及以上电压等级交流系统继电保护设备配置及运行情况,利用覆盖国家电网公司各级调度机构的继电保护统计分析及运行管理模块获取相关数据信息,并依据《电力系统继电保护及安全自动装置运行评价规程》的定...为全面了解国家电网公司220 k V及以上电压等级交流系统继电保护设备配置及运行情况,利用覆盖国家电网公司各级调度机构的继电保护统计分析及运行管理模块获取相关数据信息,并依据《电力系统继电保护及安全自动装置运行评价规程》的定义及要求对国家电网公司2013年220 k V及以上电压等级交流系统中继电保护设备的规模、配置及其运行等情况进行了全面分析;此外,还详细介绍了2013年发生的2次典型性保护设备不正确动作事件;在此基础上,针对继电保护设备的运行维护、专业管理以及数据挖掘等工作提出有效的建议。展开更多
基金the National Key R&D Program of China(2022YFB3402100)the National Science Fund for Distinguished Young Scholars of China(52025056)+4 种基金the National Natural Science Foundation of China(52305129)the China Postdoctoral Science Foundation(2023M732789)the China Postdoctoral Innovative Talents Support Program(BX20230290)the Open Foundation of Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment(2022JXKF JJ01)the Fundamental Research Funds for Central Universities。
文摘The success of deep transfer learning in fault diagnosis is attributed to the collection of high-quality labeled data from the source domain.However,in engineering scenarios,achieving such high-quality label annotation is difficult and expensive.The incorrect label annotation produces two negative effects:1)the complex decision boundary of diagnosis models lowers the generalization performance on the target domain,and2)the distribution of target domain samples becomes misaligned with the false-labeled samples.To overcome these negative effects,this article proposes a solution called the label recovery and trajectory designable network(LRTDN).LRTDN consists of three parts.First,a residual network with dual classifiers is to learn features from cross-domain samples.Second,an annotation check module is constructed to generate a label anomaly indicator that could modify the abnormal labels of false-labeled samples in the source domain.With the training of relabeled samples,the complexity of diagnosis model is reduced via semi-supervised learning.Third,the adaptation trajectories are designed for sample distributions across domains.This ensures that the target domain samples are only adapted with the pure-labeled samples.The LRTDN is verified by two case studies,in which the diagnosis knowledge of bearings is transferred across different working conditions as well as different yet related machines.The results show that LRTDN offers a high diagnosis accuracy even in the presence of incorrect annotation.
文摘The success of a software development project requires the early objective determination of the project’s correctness or incorrectness and the identification of the most effective solution for project management. However, few studies have been conducted on the reliable quantitative early judgment of correctness or incorrectness. In recent years, the collection and accumulation of actual attribute data from Japanese domestic software development projects have been conducted by the Software Engineering Centre of the Information-Technology Promotion Agency of Japan. In a previous article, we proposed a precise definition of project correctness or incorrectness and identified the important factors in successful projects;we also proposed a quantitative decision-making method for judging project correctness or incorrectness objectively and quantitatively on the basis of discriminant analysis using project completion attribute data. On the basis of the previous results, we propose a quantitative decision-making technique for the early judging of project correctness or incorrectness based on the attribute data of design stage as early stage of development.
文摘It is common that translators always meet polysemy in the process of translation work. Polysemy has become a difficultpart in English-Chinese translation and there are many incorrect translations of polysemy in English-Chinese translation. In orderto resolve this translation difficult, this essay mainly analyzes the reasons of the form of polysemy and the reason causes the incor-rect translation and based on that analysis finally put forward some advice.
文摘介绍了国家电网公司近10年来(2006—2015)在继电保护领域取得的成果,综合分析了国家电网公司220 k V及以上电压等级交流系统继电保护装置的装备和运行情况,详细介绍了装置微机化率、双重化率、国产化率的发展情况,对近10年来继电保护装置动作情况、不正确动作原因以及采用"常规互感器+合并单元"方式的智能变电站220 k V及以上电压等级继电保护装置在2014年各类型线路故障中的动作时间进行了深入分析。选取了由于保护装置原理缺陷、通道、运维等方面问题造成的5次典型性保护不正确事件进行分析。在此基础上,针对继电保护装置的生产制造、基建调试、运行维护以及智能变电站等方面提出了有效建议,并展望了"十三五"期间保护装置就地化、小型化、智能化运维体系等继电保护关键技术。
文摘为全面了解国家电网公司220 k V及以上电压等级交流系统继电保护设备配置及运行情况,利用覆盖国家电网公司各级调度机构的继电保护统计分析及运行管理模块获取相关数据信息,并依据《电力系统继电保护及安全自动装置运行评价规程》的定义及要求对国家电网公司2013年220 k V及以上电压等级交流系统中继电保护设备的规模、配置及其运行等情况进行了全面分析;此外,还详细介绍了2013年发生的2次典型性保护设备不正确动作事件;在此基础上,针对继电保护设备的运行维护、专业管理以及数据挖掘等工作提出有效的建议。
