Stator Winding Fault Phase Identification Using Piezoelectric Sensors in Three-Phase Induction Motors

Abstract

Three-phase induction motors (TIMs) play a key role in industrial production lines. Due to their robustness and versatility, TIMs are commonly used to drive different devices like fans, conveyors, sieves, and compressors. However, these devices are often exposed to mechanical and electrical faults. Among them, failures in stator winding insulation lead to severe damage to the TIMs and can cause operational interruptions. Therefore, several approaches have been developed to monitor electrical faults in induction motors. The acoustic emission (AE) stands out as an efficient non-invasive technique (NIT) for TIM diagnosis. In this work, the AE analysis was applied to detect winding insulation faults and identify which electrical phase was affected. To achieve this proposal, a TIM was subjected to insulation faults in each of the three electrical phases, and the acoustic signals were acquired by four piezoelectric sensors attached to the motor. These signals were processed using a new technique, which calculates the energy of a specific range of the signal spectrum and assigns the energy values of each piezoelectric sensor to a coordinate axis (x, y). By ploting the values for each fault condition, this technique allows the detection of insulation faults and correctly identifies the affected phase by clustering the resulting values. Finally, the proposed methodology presented satisfactory results in winding insulation diagnosis.

Locomotive Gear Fault Diagnosis Based on Wavelet Bispectrum of Motor Current

“…Continual monitoring without the use of extra sensors and hardware makes this method especially suitable for industrial environment. As a completely noninvasive method, MCSA has been successfully applied to detect broken rotor bars [28], abnormal levels of air-gap eccentricity [29], and shorted turns in stator windings [30], among other mechanical problems [31][32][33][34]. However, only a few researchers [35][36][37][38] applied MCSA in the transmission system because of the fault information loss and aliasing of current signals.…”

Vibration Monitoring for Position Sensor Fault Diagnosis in Brushless DC Motor Drives

“…Among them, the vibration signal analysis has long been proposed for conditionmonitoring purposes on induction motors [2], offering an additional tool for an alternative non-invasive diagnostic approach. Thus, vibration monitoring has already been proposed for bearing, rotor, stator, and gear or axis fault diagnosis, mostly for induction motors and wind turbines [3][4][5][6][7][8][9][10]. Additional applications of piezoelectric sensors are recently reported in [11,12] for load estimation and undervoltage detection also in induction motor drives.…”