Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis

Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN

D.H. Pandya, Sanjay Upadhyay, S. P. Harsha · Expert Systems with Applications · 2013 · 346 citations

Fault Diagnosis, Condition Monitoring, Intrinsic Mode Function +9

Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

Min Xia, Haidong Shao, Darren L. Williams et al. · Reliability Engineering & System Safety · 2021 · 343 citations

Fault Diagnosis, Intelligent Fault Diagnosis, Engineering +8

Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis

Moslem Azamfar, Jaskaran Singh, Iñaki Bravo-Imaz et al. · Mechanical Systems and Signal Processing · 2020 · 321 citations

Fault Diagnosis, Engineering, Machine Learning +12

Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine

Haidong Shao, Hongkai Jiang, Xingqiu Li et al. · Knowledge-Based Systems · 2017 · 316 citations

Fault Diagnosis, Condition Monitoring, Intelligent Fault Diagnosis +10

Multi-scale deep intra-class transfer learning for bearing fault diagnosis

Xu Wang, Changqing Shen, Min Xia et al. · Reliability Engineering & System Safety · 2020 · 299 citations · Full text

Fault Diagnosis, Engineering, Machine Learning +5