7.8(top 1%)
Impact Factor
8.4(top 1%)
extended IF
168(top 2%)
H-Index
3.5K
authors
7.9K
papers
233K
citations
3.8K
citing journals
39.4K
citing authors

Most Cited Articles of Mechanical Systems and Signal Processing

TitleYearCitations
A review on machinery diagnostics and prognostics implementing condition-based maintenance20062.5K
Rolling element bearing diagnostics—A tutorial20111.3K
A review on empirical mode decomposition in fault diagnosis of rotating machinery20131K
Deep learning and its applications to machine health monitoring20191K
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data2016912
REFERENCE-BASED STOCHASTIC SUBSPACE IDENTIFICATION FOR OUTPUT-ONLY MODAL ANALYSIS1999885
Support vector machine in machine condition monitoring and fault diagnosis2007846
Fast computation of the kurtogram for the detection of transient faults2007810
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications2014803
Artificial intelligence for fault diagnosis of rotating machinery: A review2018795
Machinery health prognostics: A systematic review from data acquisition to RUL prediction2018758
Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography2004755
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines2006746
The spectral kurtosis: a useful tool for characterising non-stationary signals2006740
Past, present and future of nonlinear system identification in structural dynamics2006729
Rotating machinery prognostics: State of the art, challenges and opportunities2009690
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study2015672
Applications of machine learning to machine fault diagnosis: A review and roadmap2020556
Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples2013546
A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing2005536
Prognostic modelling options for remaining useful life estimation by industry2011533
The sensitivity method in finite element model updating: A tutorial2011517
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load2018508
ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROLLING ELEMENT BEARINGS USING TIME-DOMAIN FEATURES2003472
A review on the application of deep learning in system health management2018467