Basic research on machinery fault diagnostics: Past, present, and future trends

X Chen, S Wang, B Qiao, Q Chen - Frontiers of Mechanical Engineering, 2018 - Springer
Machinery fault diagnosis has progressed over the past decades with the evolution of
machineries in terms of complexity and scale. High-value machineries require condition …

Matching synchrosqueezing transform: A useful tool for characterizing signals with fast varying instantaneous frequency and application to machine fault diagnosis

S Wang, X Chen, IW Selesnick, Y Guo, C Tong… - … Systems and Signal …, 2018 - Elsevier
Synchrosqueezing transform (SST) can effectively improve the readability of the time-
frequency (TF) representation (TFR) of nonstationary signals composed of multiple …

Matching synchrosqueezing wavelet transform and application to aeroengine vibration monitoring

S Wang, X Chen, C Tong, Z Zhao - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents a new time-frequency (TF) analysis method called matching
synchrosqueezing wavelet transform (MSWT) to signals with fast varying instantaneous …

Nonlinear squeezing time-frequency transform and application in rotor rub-impact fault diagnosis

S Wang, L Yang, X Chen… - Journal of …, 2017 - asmedigitalcollection.asme.org
Vibration signal analysis has been proved as an effective tool for condition monitoring and
fault diagnosis for rotating machines in the manufacturing process. The presence of the rub …

An Enhanced Version of Second‐Order Synchrosqueezing Transform Combined with Time‐Frequency Image Texture Features to Detect Faults in Bearings

X Cheng, A Wang, Z Li, L Yuan, Y Xiao - Shock and Vibration, 2021 - Wiley Online Library
Signals with multiple components and fast‐varying instantaneous frequencies reduce the
readability of the time‐frequency representations obtained by traditional synchrosqueezing …