Bearing fault diagnosis based on improved DenseNet for chemical equipment. [PDF]
Sci RepHuiyong W, Kuan J, Yanyu W.
europepmc +1 more source
An Upper-Probability-Based Softmax Ensemble Model for Multi-Sensor Bearing Fault Diagnosis. [PDF]
Sensors (Basel)Jo H, Yoo Y, Dai M, Ban SW.
europepmc +1 more source
An Interval Belief Rule Base Method with Attention Enhancement for Bearing Fault Diagnosis Under Variable Operating Conditions. [PDF]
Sensors (Basel)Chen B, Li J, Li H.
europepmc +1 more source
Leakage-Resistant Multi-Sensor Bearing Fault Diagnosis via Adaptive Time-Frequency Graph Learning and Sensor Reliability-Aware Fusion. [PDF]
Sensors (Basel)Sun Y, Qin Y, Chen W, Zhao W, Sun H.
europepmc +1 more source
Rolling Bearing Fault Diagnosis Based on Multi-Source Domain Joint Structure Preservation Transfer with Autoencoder. [PDF]
Sensors (Basel)Jiang Q +7 more
europepmc +1 more source
Rolling bearing fault diagnosis method based on fusion of STFT-statistical features and AL-SOA optimized bagging tree. [PDF]
Sci RepBai H, Tong W, Duan C, Zhou Y, Dong S.
europepmc +1 more source
Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM
Sensors, 2022 A rolling bearing fault diagnosis method based on whale gray wolf optimization algorithm-variational mode decomposition-support vector machine (WGWOA-VMD-SVM) was proposed to solve the unclear fault characterization of rolling bearing vibration signal ...
Maohua Xiao
exaly +2 more sources
Related searches:
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
IEEE Transactions on Instrumentation and Measurement, 2023Chen Xiaohan +2 more
exaly
Digital twin-assisted enhanced meta-transfer learning for rolling bearing fault diagnosis
Mechanical Systems and Signal Processing, 2023Leiming Ma, Bin Jiang, Ningyun Lu
exaly