… In this section, data analysis methods commonly used in time-frequency analysis of rotating
machinery fault diagnosis are divided into three stages and reviewed according to their …

… In this paper, a time–frequency analysis method combining the capabilities of … frequency
analysis method based ELMD and FK is proposed for rotating machinery fault diagnosis…

… INTRODUCTION Recently, interest in the use of time–frequency methods for fault diagnosis
in rotating machinery based on acoustic or vibration data [1] has grown. Such methods allow …

… a novel statistical spectral analysis, which leads to highly robust fault diagnosis with poor …
The amplitudes of spectral contents of the quasi-stationary time vibration signals are sorted …

… fault detection in rotating machinery and the results were found to be encouraging [18], [19],
[20]. In this paper and as explained below in sub-Section 4.2, our first main contribution is to …

… In this work, a new intelligent fault diagnosis method of rotating machinery based on the
time-frequency analysis and DCNN is proposed. The applicability and efficiency of the proposed …

… –frequency analysis methods, and point out some application prospects in machinery fault
diagnosis. … to vibration signal analysis of rotating machinery, and extracted fault symptoms by …

… Vibration spectrum analysis for all these faults and particular to different vibration analysis
technique can be studied. In this paper the bearing faults induced in rotating machinery is …

… -frequency analysis has been found to be effective in monitoring the transient or time-varying
characteristics of machinery … This paper proposes the application of time-frequency methods…

… frequency analysis Rotating machinery Fault diagnosis Local mean decomposition (LMD)
is a novel self-adaptive time–frequency analysis … -modulated and frequencymodulated (AM–FM…