Fault diagnosis is an important means to ensure the safe and reliable operation of
mechanical equipment. In machinery fault diagnosis, collecting and mining the potential fault …

The measured vibration signals of mechanical equipment with defects are generally non-
stationary. Time–frequency analysis is an effective tool in processing non-stationary signals …

Since loosening of the bolt connection reduce the stability and working accuracy of industrial
robot joint, develo** and applying new detection methods to provide effective and reliable …

Seismic signal analysis is the main step in data processing through the petroleum
exploration via costly seismic investigations. Precision of target delineation by seismic data …

Poorly assembled or faulty rotors often behave nonlinearly. The accurate extraction of weak
nonlinear features is a vital issue. This paper proposes to extract the partial dynamic …

Time–frequency (TF) analysis (TFA) technique has been widely used to the analysis of
rotating machine vibration. However, vibration signal from practical sources contains …

Abstract Time-frequency (TF) analysis (TFA) is one of the effective methods to deal with non-
stationary signals. Due to their advantages, many experts and scholars have recently …

Time–frequency analysis (TFA) techniques offer valuable insights into the dynamic
characteristics of nonstationary signals, making them suitable for diagnosing faults in …

Among the time frequency (TF) analysis (TFA) post-processing methods, limited by the
accuracy of the estimated group delay (GD), the time-reassigned synchrosqueezing …

Blurry time–frequency representation (TFR) of most time–frequency analysis methods
influenced by inaccurate instantaneous frequency estimation hinders the meaningful …