Results 81 to 90 of about 3,273,797 (200)
Study on fault diagnosis technologies of motor
Gong-kuang zidonghua, 2015 The paper introduced types and causes of common electrical and mechanical faults of motor, and described application of signal processing methods and intelligent diagnosis methods in fault diagnosis of motor.
WANG Huizhong +3 more
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Intelligent Fault Diagnosis for Laboratory Equipment
Electronics LettersABSTRACT Traditional laboratory management relies heavily on manual oversight and static thresholdâbased fault diagnostics, which are inadequate for addressing the dynamic, individualised needs of contemporary environments. To address these challenges, we proposed an intelligent laboratory management framework, designed to enable ...
Chaoqun Zheng +6 more
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World Electric Vehicle JournalAccurate bearing fault diagnosis in electric drive systems is crucial for ensuring the safety and reliability of new energy vehicles. Aiming at the problem of inaccurate bearing fault diagnosis caused by the failure to fully utilize the time-frequency ...
Dengfeng Zhao +7 more
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, 2020 The vibration signal induced by bearing local fault has strong nonstationary and nonlinear property, which indicates that the conventional methods are difficult to recognize bearing fault patterns effectively.
Minping Jia, Ying Liu, Xiaoan Yan
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RESEARCH PROGRESS OF METHODS OF GEAR FAULT DIAGNOSIS
Jixie qiangdu, 2016 Gear is a main component of the machinery transmission. Reducing gear failure and prolong its life is a crucial issue in industrial production. It summarized the research progress of gear fault diagnosis technology for nearly 50 years.
ZHAO LiJuan, LIU XiaoDong, LI Miao
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A Deployment Method for Motor Fault Diagnosis Application Based on Edge Intelligence
The rapid advancement of Industry 4.0 and intelligent manufacturing has elevated the demands for fault diagnosis in servo motors. Traditional diagnostic methods, which rely heavily on handcrafted features and expert knowledge, struggle to achieve ...
Nan Wu +5 more
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An intelligent diagnosis for railway turnout fault
Dianzi Jishu Yingyong, 2020 The traditional turnout fault detection method not only leads to consume a lot of manpower, material resources and financial resources, but also relies on manual experience. With the rapid development of artificial intelligence, designing an intelligent diagnostic system to diagnose the turnout is a key problem.
Ke Ting +3 more
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A Fusion Model for Intelligent Diagnosis of Gear Faults with Small Sample Sizes
Gear faults are a frequent cause of rotating machinery breakdowns. There are two open issues in the current intelligent diagnosis model of gear faults. (1) Shallow models demand fewer data but necessitate feature extraction from raw signals, relying on ...
Jianing Huang +4 more
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Fault Diagnosis of Switching Power Supplies Using Dynamic Wavelet Packet Transform and Optimized SVM
Switch mode power supplies (SMPSs) are prone to various faults under complex operating environments and variable load conditions. To improve the accuracy and reliability of fault diagnosis, this paper proposes an intelligent diagnosis method based on ...
Zhifeng Wang, Jie Xu, Jingjing Zhu
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An intelligent online machine fault diagnosis system
, 2001 Traditional help desk service relies heavily on the expertise of service personnel. This article describes an intelligent data mining technique that combines neural network and rule-based reasoning with case-based reasoning to mine information from the ...
Hui, S.C., Fong, A.C.M.
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