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Enhanced CNN for induction motor fault diagnosis via multi-source data fusion. [PDF]
PLoS OneBo L, Li M, Tan H.
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Dynamic Modeling and Analysis of Rotary Joints with Coupled Bearing Tilt-Misalignment Faults. [PDF]
Entropy (Basel)Lu J +6 more
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Renewable Energy, 2019
Fault diagnosis of a wind turbine gearbox can schedule maintenance strategy on a wind turbine and save operational cost for wind farms. Owing to low rotational speed and weak vibration energy, fault diagnosis for planetary stage is arduous in a wind ...
W. Teng +5 more
semanticscholar +3 more sources
Fault diagnosis of a wind turbine gearbox can schedule maintenance strategy on a wind turbine and save operational cost for wind farms. Owing to low rotational speed and weak vibration energy, fault diagnosis for planetary stage is arduous in a wind ...
W. Teng +5 more
semanticscholar +3 more sources
Structural Health Monitoring
Rolling bearing plays an important role in carrying and transmitting power in rotating machinery, and the bearing fault is easy to lead to mechanical accidents, resulting in huge losses and casualties. Therefore, the condition monitoring and diagnosis of
Huibin Wang +5 more
semanticscholar +3 more sources
Rolling bearing plays an important role in carrying and transmitting power in rotating machinery, and the bearing fault is easy to lead to mechanical accidents, resulting in huge losses and casualties. Therefore, the condition monitoring and diagnosis of
Huibin Wang +5 more
semanticscholar +3 more sources
A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis
Measurement: Journal of the International Measurement Confederation, 2019To achieve compound faults diagnosis with single channel signal, a three-dimensional geometric features-based sparse component analysis (TGF-SCA) method is proposed.
Yansong Hao +3 more
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Measurement: Journal of the International Measurement Confederation, 2019
Due to the compound faults with different type fault coupled together and the nonobvious periodic impulses contaminated by strong noise, it is challenging to extract the fault characteristics from the rotating machinery.
Lianhuan Hong, Xiaobo Liu, H. Zuo
semanticscholar +3 more sources
Due to the compound faults with different type fault coupled together and the nonobvious periodic impulses contaminated by strong noise, it is challenging to extract the fault characteristics from the rotating machinery.
Lianhuan Hong, Xiaobo Liu, H. Zuo
semanticscholar +3 more sources
MSRCN: A cross-machine diagnosis method for the CNC spindle motors with compound faults
Expert Systems With Applications, 2023Yiming He, Weiming Shen
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