Closed-loop bandwidth impact on MVSA for rotor broken bar diagnosis in IRFOC double squirrel cage induction motor drives

Abstract

This paper investigates the detectability of rotor broken bars in indirect rotor flux oriented control (IRFOC) for variable speed double cage induction motor drives, using vibration signature analysis techniques. The Impact of the closed loop control system cannot be neglected when the detection of rotor asymmetries in the machine is based on the signature analysis of electrical or mechanical variables. Therefore, the investigation of rotor fault components for different bandwidths of closed-loop regulators is necessary to evaluate its relevance in the above listed variables. This paper investigates the impact of the control system on relevance of the fault components computed from axial and radial vibration signals. Experimental results show the validity of this impact, and more specifically, the bandwidth PI regulators. Due to its relevance, axial vibration analysis shows a more robust fault signature, under the control impact, in separating healthy from rotor bar breakage in double squirrel cage induction motors

Experimental and simulation investigation for rotor bar fault diagnosis in closed-loop induction motors drives

“…Detecting this fault under a closed loop control is a challenge for many researchers. Therefore, many control techniques have been used and applied, such as field oriented control (FOC), direct torque control (DTC) [9], [10].…”

Broken rotor bar fault diagnostic for DTC Fed induction motor using stator instantaneous complex apparent power envelope signature analysis

“…mask the fault effect [9,10]. Therefore, using stator current analysis causes a difficulty in fault detection, which motivated researchers attempted to use other quantities for fault analysis [11][12][13][14][15][16].…”

Vibration Analysis of Partially Damaged Rotor Bar in Induction Motor under Different Load Condition Using DWT

“…The most popular techniques for fault detection in induction motors are the motor current signature analysis (MCSA) and the motor vibration signature analysis (MVSA). There are several current analysis techniques in literature about the identification of faults in induction motors such as broken bars [2,[5][6][7][8][9][10][11] and also vibration analysis techniques [12][13][14][15][16][17][18][19][20][21][22][23][24][25]. When it comes to vibration analysis techniques, there are several methodologies for the detection of broken bars.…”

“…Su et al analyzed the vibration signal using an Artificial Neural Network (ANN) for motor fault detection [12]. Gritli et al investigated the impact of the control system related to fault diagnosis; they concluded that current signal is affected and vibration analysis showed better result for fault diagnosis [13]. Betta et al proposed a vibration analyzer based on a digital signal processor (DSP) for fault diagnosis in rotating machine [16].…”