… field of machinery fault diagnosis. Time–frequency analysis can identify the signal frequency
components, reveals their time variant features, and is an effective tool to extract machinery …

… –frequency analysis methods and multi-fractal theories for feature extraction, adopted support
vector machines (… a synthetic fault diagnosis system for complex machineries. Traditional …

Vibration signals acquired from rotating machines operating under varying speed condition
often exhibit strong frequency modulation. Conventional time–frequency analysis techniques …

… are important for machinery fault diagnosis. Signals provided by … This paper presents an
instantaneous frequency estimation … ; a typical example is degradation of a tool wear. Intermittent …

… -frequency analysis of rotating machinery fault diagnosis are … image features, there are often
quite rich mathematical tools … tools and relevant experience knowledge in the field of fault …

… Therefore, to reveal the major information of the failure, we focus on the time–frequency
characteristics which locate on the 2500–4000 Hz pass-band. The TF performance generated by …

… for possible application as a machinery fault diagnostic tool. This diagnostic technique will be
… of fuzzy logic to classify frequency spectra according to the likely fault condition which they …

… vibrations should contain much useful information about supervised machines. In …
diagnostic signals, namely the Wigner distribution. This distribution, a powerful tool for time-frequency …

… Time–frequency feature is beneficial to representation of non-stationary signals for effective
machinery fault diagnosis. The time–frequency distribution (TFD) is a major tool to reveal the …

… The SST method was introduced as a postprocessing tool for the linear TFA methods and
has been applied in the fault diagnosis of rotating machinery [10]. The SST is intended to …