An Investigation on Rolling Element Bearing Fault and Real-Time Spectrum Analysis by Using Short-Time Fourier Transform

Abstract

Feature extraction has more importance in fault diagnosis and also to identify the important changes of rotary machines. Rolling elements are an important part of a rotary machine. The working condition of the rotary machine is based on the performance of rolling elements. Rolling element produces the fault vibration signals which are non-stationary so time-frequency distribution (TFD) is used. And time-frequency distribution is depending on Short Time Fourier Transform (STFT). This paper combines the concept of TFD and STFT. This paper also presents the different approaches of the Short-Time Fourier Transform. Another thing discussed in this paper is the real-time spectrum analysis of discrete short-time Fourier Transform. This paper is a simple analysis of the rolling element fault diagnosis problem of a rolling element with the use of TFD and STFT.