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FAULT_DIAGNOSIS: 作品数：744被引量：1890H指数：17; 导出分析报告; 相关作者：朱小燕左洪福侯立华杨忠荣吉利更多>>; 相关机构：北京理工大学南京航空航天大学上海交通大学东南大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中国博士后科学基金更多>>

Rolling Bearing Fault Diagnosis Based on MTF Encoding and CBAM-LCNN Mechanism: 《Computers, Materials & Continua》2025年第3期4863-4880,共18页Wei Liu Sen Liu Yinchao He Jiaojiao Wang Yu Gu; supported by the National Natural Science Foundation of China(52001340);the Henan Province Science and Technology Key Research Project(242102110332);the Henan Province Teaching Reform Project(2022SYJXLX087).; To address the issues of slow diagnostic speed,low accuracy,and poor generalization performance in traditional rolling bearing fault diagnosis methods,we propose a rolling bearing fault diagnosis method based on Marko...; 关键词：Rolling bearing fault diagnosis markov transition field lightweight convolutional neural network convolutional block attention module

LIRB-Based Quantum Circuit Fidelity Assessment and Gate Fault Diagnosis: 《Computers, Materials & Continua》2025年第2期2215-2233,共19页Mengdi Yang Feng Yue Weilong Wang Xiangdong Meng Lixin Wang Pengyu Han Haoran He Benzheng Yuan Zhiqiang Fan Chenhui Wang Qiming Du Danyang Zheng Xuefei Feng Zheng Shan; Quantum circuit fidelity is a crucial metric for assessing the accuracy of quantum computation results and indicating the precision of quantum algorithm execution. The primary methods for assessing quantum circuit fid...; 关键词：Quantum circuits Interleaved Random Benchmarking(IRB) circuit fidelity fault gates

Adaptive adjustment graph representation learning method for rotating machinery fault diagnosis under noisy signals: 《Frontiers of Mechanical Engineering》2025年第1期147-162,共16页Lei WANG Peijie YOU Xin ZHANG Li JIANG Yibing LI; financially supported by the National Natural Science Foundation of China(Grant No.51905396).; Recently,intelligent fault diagnosis methods have been employed in the condition monitoring of rotating machinery.Among them,graph neural networks are emerging as a new feature extraction tool that can mine the relati...; 关键词：rotating machinery fault diagnosis graph neural network adaptive adjustment

A Power Battery Fault Diagnosis Method Based on Long-Short Term Memory-Back Propagation: 《Energy Engineering》2025年第2期709-731,共23页Yuheng Yin Jiahao Song Minghui Yang; The lithium battery is an essential component of electric cars;prompt and accurate problem detection is vital in guaranteeing electric cars’safe and dependable functioning and addressing the limitations of Back Propa...; 关键词：Lithium battery fault diagnosis BP neural network LSTM neural network

Improved Multi-Grained Cascade Forest Model for Transformer Fault Diagnosis: 《CSEE Journal of Power and Energy Systems》2025年第1期468-476,共9页Yiyi Zhang Yuxuan Wang Jiefeng Liu Heng Zhang Xianhao Fan Dongdong Zhang; supported in part by the National Natural Science Foundation of China under Grant(52277138);Natural Science Foundation of Guangxi under Grant(2018JJB160064,2018JJA160176)。; Dissolved gas analysis(DGA)is an effective online fault diagnosis technique for large oil-immersed transformers.However,due to the limited number of DGA data,most deep learning models will be overfitted and the classi...; 关键词：Convolutional neural networks dissolved gas analysis fault diagnosis multi-grained cascade forest(gcForest) power transformer

Fault-induced gear meshing modulation sideband extraction and evaluation for fault diagnosis of planetary gearboxes: 《Science China(Technological Sciences)》2025年第1期335-351,共17页Peng ZHOU Xiaoluo YU Yang YANG Qingbo HE Zhike PENG; supported by the National Natural Science Foundation of China(Grant Nos.52205112,12121002);the China Postdoctoral Science Foundation(Grant No.2022M712063)。; Gearboxes,known for their compact size and stable transmission capability,are widely used as power transmission structures in various types of mechanical equipment,such as wind turbines,helicopters,and special vehicle...; 关键词：planetary gearbox gear meshing frequency modulation sideband signal decomposition fault diagnosis

Condition monitoring and fault diagnosis of industrial robots:A review: 《Science China(Technological Sciences)》2025年第1期117-141,共25页Yaguo LEI Huan LIU Naipeng LI Junyi CAO Yuting QIAO Hongbo WANG; supported by the National Science Fund for Distinguished Young Scholars of China(Grant No.52025056);the National Natural Science Foundation of China(Grant No.52435003);the Fundamental Research Funds for the Central Universities。; Health management of industrial robots is paramount for maintaining effective operations,ensuring consistent performance,minimizing downtime,and ultimately enhancing the safety and productivity of robotic systems.Sinc...; 关键词：industrial robots failure modes data acquisition condition monitoring fault diagnosis

Decentralized fault diagnosis of discrete-event systems with unreliable sensors using linear temporal logic: 《Science China(Information Sciences)》2025年第1期319-338,共20页Weijie DONG Shaoyuan LI Xiang YIN; supported by National Natural Science Foundation of China(Grant Nos.62173226,92367203,62061136004).; In this paper,we investigate a decentralized diagnosis problem of a discrete-event system(DES)subject to unreliable sensors,where the sensor observations of local diagnosers may be non-deterministic as a result of pos...; 关键词：discrete event systems decentralized diagnosis codiagnosability AUTOMATA

Wind Turbine Gearbox Fault Diagnosis Based on Multi-sensor Signals Fusion: 《Protection and Control of Modern Power Systems》2024年第4期96-109,共14页Yao Zhao Ziyu Song Dongdong Li Rongrong Qian Shunfu Lin; supported by the Shanghai Rising-Star Program(No.21QC1400200);the Natural Science Foundation of Shanghai(No.21ZR1425400);the National Natural Science Foundation of China(No.52377111).; This paper proposes a novel fault diagnosis method by fusing the information from multi-sensor signals to improve the reliability of the conventional vibration-based wind turbine drivetrain gearbox fault diagnosis met...; 关键词：Wind turbine gearbox fault diagnosis multiple scenarios deep learning stacked denoising au-to-encoder cycle reservoir with regular jumps feature fusion network

Fault diagnosis of intelligent distribution system based on privacy-enhanced federated learning: 《High Technology Letters》2024年第4期424-432,共9页CHEN Yifang SUN Zhiqing XUAN Yi LOU Yinan WANG Qifeng GUO Fanghong; Supported by the Science and Technology Project of State Grid Zhejiang Electric Power Co.,Ltd(No.5211HZ230002).; In practical applications,different power companies are unwilling to share personal transformer data with each other due to data privacy.Faced with such a data isolation scenario,the centralized learning method is dif...; 关键词：power transformer fault diagnosis federated learning(FL) data sharing(DS) differential privacy(DP)

FAULT_DIAGNOSIS