Condition monitoring of induction motor bearing based on bearing damage index

• Autorzy: Patel R. K. , Giri V. K.

Identyfikatory

DOI

10.1515/aee-2017-0008

• Języki publikacji: EN

Abstrakty

EN

The rolling element bearings are used broadly in many machinery applications. It is used to support the load and preserve the clearance between stationary and rotating machinery elements. Unfortunately, rolling element bearings are exceedingly prone to premature failures. Vibration signal analysis has been widely used in the faults detection of rotating machinery and can be broadly classified as being a stationary or non-stationary signal. In the case of the faulty rolling element bearing the vibration signal is not strictly phase locked to the rotational speed of the shaft and become “transient” in nature. The purpose of this paper is to briefly discuss the identification of an Inner Raceway Fault (IRF) and an Outer Raceway Fault (ORF) with the different fault severity levels. The conventional statistical analysis was only able to detect the existence of a fault but unable to discriminate between IRF and ORF. In the present work, a detection technique named as bearing damage index (BDI) has been proposed. The proposed BDI technique uses wavelet packet node energy coefficient analysis method. The well-known combination of Hilbert transform (HT) and Fast Fourier Transform (FFT) has been carried out in order to identify the IRF and ORF faults. The results show that wavelet packet node energy coefficients are not only sensitive to detect the faults in bearing but at the same time they are able to detect the severity level of the fault. The proposed bearing damage index method for fault identification may be considered as an ‘index’ representing the health condition of rotating machines.

Słowa kluczowe

EN

bearing damage index (BDI); inner raceway fault (IRF); outer raceway fault (ORF); fault severity; vibration signal

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2017
• Tom: Vol. 66, nr 1
• Strony: 105--119
• Opis fizyczny: Bibliogr. 29 poz., rys., tab., wz.

Twórcy

autor

Patel R. K.

• Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur-273 010, India

autor

Giri V. K.

• Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur-273 010, India

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).