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FAULT_DIAGNOSIS: 作品数：755被引量：1901H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 Method Based on FFT-VMD Multiscale Information Fusion and SE-TCN Model: 《Structural Durability & Health Monitoring》2025年第3期665-682,共18页Chaozhi Cai Yuqi Ren Yingfang Xue Jianhua Ren; supported by Handan Science and Technology Research and Development Plan Project under Grant no.23422901031;Key Laboratory of Intelligent Industrial Equipment Technology of Hebei Province(Hebei University of Engineering)under Grant no.202206.; Rolling bearings are important parts of industrial equipment,and their fault diagnosis is crucial to maintaining these equipment’s regular operations.With the goal of improving the fault diagnosis accuracy of rolling...; 关键词：Fault diagnosis rolling bearing vibrational mode decomposition fast Fourier transform SE-TCN

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

Fault Diagnosis for Railway Point Machines Using VMD Multi-Scale Permutation Entropy and ReliefF Based on Vibration Signals: 《Chinese Journal of Electronics》2025年第1期204-211,共8页Yongkui Sun Yuan Cao Peng Li Shuai Su; funded by the National Natural Science Foundation of China(Grant Nos.52202392,U1934219,52022010,52372308,and 62271486)。; The railway point machine plays an important part in railway systems.It is closely related to the safe operation of trains.Considering the advantages of vibration signals on anti-interference,this paper develops a nov...; 关键词：Fault diagnosis Railway point machines Variational mode decomposition RELIEFF

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

Physically-consistent-WGAN based small sample fault diagnosis for industrial processes: 《Chinese Journal of Chemical Engineering》2025年第2期163-174,共12页Siyu Tang Hongbo Shi Bing Song Yang Tao Shuai Tan; In real industrial scenarios, equipment cannot be operated in a faulty state for a long time, resulting in a very limited number of available fault samples, and the method of data augmentation using generative adversa...; 关键词：Chemical processes Fault diagnosis Physical consistency Generative adversarial networks Small sample data

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

Application of Fuzzy Inference System in Gas Turbine Engine Fault Diagnosis Against Measurement Uncertainties: 《Chinese Journal of Mechanical Engineering》2025年第1期62-83,共22页Shuai Ma Yafeng Wu Zheng Hua Linfeng Gou; Robustness against measurement uncertainties is crucial for gas turbine engine diagnosis.While current research focuses mainly on measurement noise,measurement bias remains challenging.This study proposes a novel perf...; 关键词：Performance-based fault diagnosis Gas turbine engine Fuzzy inference system Measurement uncertainty Regression and classification

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

FAULT_DIAGNOSIS