Application of Wavelet Packet Transform (WPT) for Bearing Fault Diagnosis

نویسندگان

  • A. Boudiaf
  • S. Taleb
  • S. Ziani
چکیده

The bearings are the most important mechanical elements of rotating machinery. They are employed to support and rotate the shafts in rotating machinery. On the other hand, any fault in bearing can lead to losses on the level of production and equipments as well as creation an unsafe working environment for human. For these reasons, Condition monitoring and fault diagnosis of these bearings has become a fundamental axis of development and industrial research. This paper presents a bearing-fault detection method based on wavelet packet transform (WPT). The results show that the proposed method improves the bearing faults diagnosis compared to other common techniques. Keywords— Vibration Analysis; Bearing Fault Diagnosis; Fast Fourier Transform (FFT); Wavelet Packet Transform (WPT).

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تاریخ انتشار 2015