Mechanical Systems and Signal Processing

Title Publication Date Language Citations
A review on machinery diagnostics and prognostics implementing condition-based maintenance2006/10/01English2,182
Rolling element bearing diagnostics—A tutorial2011/02/01English1,428
Deep learning and its applications to machine health monitoring2019/01/01English1,324
Applications of machine learning to machine fault diagnosis: A review and roadmap2020/04/01English1,183
A review on empirical mode decomposition in fault diagnosis of rotating machinery2013/02/01English1,161
Artificial intelligence for fault diagnosis of rotating machinery: A review2018/08/01English1,148
Machinery health prognostics: A systematic review from data acquisition to RUL prediction2018/05/01English1,148
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study2015/12/01English1,116
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data2016/05/01English1,012
Fast computation of the kurtogram for the detection of transient faults2007/01/01English966
REFERENCE-BASED STOCHASTIC SUBSPACE IDENTIFICATION FOR OUTPUT-ONLY MODAL ANALYSIS1999/11/01English850
Support vector machine in machine condition monitoring and fault diagnosis2007/08/01English842
The spectral kurtosis: a useful tool for characterising non-stationary signals2006/02/01English830
1D convolutional neural networks and applications: A survey2021/04/01English829
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications2014/01/01English827
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load2018/02/01English779
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines2006/02/01English774
Past, present and future of nonlinear system identification in structural dynamics2006/04/01English661
A review on the application of deep learning in system health management2018/07/01English616
Rotating machinery prognostics: State of the art, challenges and opportunities2009/04/01English609
Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples2013/07/01English606
The sensitivity method in finite element model updating: A tutorial2011/10/01English569
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings2019/05/01English527
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications2021/01/01English519
A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing2005/09/01English509
Prognostic modelling options for remaining useful life estimation by industry2011/07/01English480
THE RELATIONSHIP BETWEEN SPECTRAL CORRELATION AND ENVELOPE ANALYSIS IN THE DIAGNOSTICS OF BEARING FAULTS AND OTHER CYCLOSTATIONARY MACHINE SIGNALS2001/09/01English455
A novel deep autoencoder feature learning method for rotating machinery fault diagnosis2017/10/01English432
Nonlinear normal modes, Part I: A useful framework for the structural dynamicist2009/01/01English423
Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection2012/11/01English420