Condition monitoring of induction motor bearing based on bearing damage index

Abstract

Abstract: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.

Wavelet transform to induction motor analysis: review

“…In [32] comparisons of stator and rotor electrical faults are made through an IM model that uses Park's Instantaneous Space Fasor during the stator current analysis and the Transformer Fast Fourier (TFF), to identify the spectrum and the spectral density band of the Wavelet coefficients. One of the most frequent problems are those that occur in the bearings as reported by ''--- [33][34][35][36][37][38] where are proposed techniques to make a diagnosis based on the analysis of the wavelet coefficients. The bearing damage detection technique presented in '' [35], for example, uses the Wavelet Packet energy coefficient analysis method to detect the Interior Rail Fault severity level (IRF) and an exterior Rail Fault (ORF).…”

“…One of the most frequent problems are those that occur in the bearings as reported by ''--- [33][34][35][36][37][38] where are proposed techniques to make a diagnosis based on the analysis of the wavelet coefficients. The bearing damage detection technique presented in '' [35], for example, uses the Wavelet Packet energy coefficient analysis method to detect the Interior Rail Fault severity level (IRF) and an exterior Rail Fault (ORF).…”

An intelligent bearing fault diagnosis based on hybrid signal processing and Henry gas solubility optimization

“…3 When a bearing element comes into the contact of the defect, it develops shock and vibration, and its magnitude increases significantly with time. Several methods such as vibration monitoring, 4,5 infrared thermography, 6,7 noise monitoring, 8 acoustic emission 9,10 and Motor Current Signature Analysis (MCSA) 11 accompanied with the Internet of Things (IoT) 12 have been used to detect these faults efficiently in industry 4.0. Among the above methods, vibration signal-based analysis is the most reliable technique for bearing fault diagnosis in rotating machines.…”

“…In addition, to deal with the modulated signals, different frequency features can be extracted from the spectrum of the filtered vibration signal. 4 But the direct spectrum analysis of the envelope of the raw vibration signal is not always efficient due to the complex nature of the acquired signal. 14 So, neither time-domain nor frequency-domain signals provide the required fault state information of the bearing effectively.…”

Analysis of Torque Ripples of an Induction Motor Taking into Account a Inter-Turn Short-Circuit in a Stator Winding

“…Due to their simple mechanical design, low cost, and robustness, induction machines are most often used in commercial applications [1][2][3][4]. Despite design efforts aimed to increase the reliability of IM, failures still occur.…”