Fault analysis and diagnosis system for induction motors

Huang, Sy‐Ruen; Huang, Kuo-Hua; Chao, Kuei‐Hsiang; Chiang, Wei-Tseng

doi:10.1016/j.compeleceng.2016.01.028

Cited by 36 publications

(14 citation statements)

References 15 publications

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“…During the last decade, several vibration and current analysis-based processing techniques for BRB detection have been proposed. The conventional signal processing technique used to perform this task is the fast Fourier transform (FFT) [6][7][8]. However, it is limited in its capability for extracting features from signals that exhibit nonlinear and nonstationary characteristics, besides being susceptible to noise, making a correct identification of features related to the BRB fault difficult [9].…”

Section: Introductionmentioning

confidence: 99%

Shannon Entropy andK-Means Method for Automatic Diagnosis of Broken Rotor Bars in Induction Motors Using Vibration Signals

Camarena-Martinez

Valtierra-Rodríguez

Amezquita-Sanchez

et al. 2016

Shock and Vibration

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For industry, the induction motors are essential elements in production chains. Despite the robustness of induction motors, they are susceptible to failures. The broken rotor bar (BRB) fault in induction motors has received special attention since one of its characteristics is that the motor can continue operating with apparent normality; however, at certain point the fault may cause severe damage to the motor. In this work, a methodology to detect BRBs using vibration signals is proposed. The methodology uses the Shannon entropy to quantify the amount of information provided by the vibration signals, which changes due to the presence of new frequency components associated with the fault. For automatic diagnosis, theK-means cluster algorithm and a decision-making unit that looks for the nearest cluster through the Euclidian distance are applied. Unlike other reported works, the proposal can diagnose the BRB condition during startup transient and steady state regimes of operation. Additionally, the proposal is also implemented into a field programmable gate array in order to offer a low-cost and low-complex online monitoring system. The obtained results demonstrate the proposal effectiveness to diagnose half, one, and two BRBs.

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Section: Introductionmentioning

confidence: 99%

Shannon Entropy andK-Means Method for Automatic Diagnosis of Broken Rotor Bars in Induction Motors Using Vibration Signals

Camarena-Martinez

Valtierra-Rodríguez

Amezquita-Sanchez

et al. 2016

Shock and Vibration

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“…General failures in inductions motors can be given as follows (Alsaedi, 2015;Huang et al, 2016):…”

Section: Induction Motor Faultsmentioning

confidence: 99%

Dış Kafesinde Kırık Bar Arızası Olan Çift Kafesli Asenkron Motorun Performans Analizi

Yetgin

2020

Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Induction motors are one of the most commonly used motor in the industry. For this reason, a fault (electrical or mechanical) inside or outside of the motor can cause the motor to go out of power and even cause the production losses inside the factory. Although there are many studies on single-cage induction motor failures in the literature, double cage motor failures are not a frequent subject of study. Therefore, in this study, it was investigated how the outer cage slot faults in a double cage induction motor affect the motor performance. Analyses were performed using Finite Element Method (FEM). 1, 2, 3 and 4 outer cage broken bars in the rotor slot were investigated. Rotor currents, magnetic vector potential values, magnetic flux distributions, current densities, radial forces and torque-speed graphs of the motor models were obtained and compared for both healthy and failure motors. The results show that as the number of broken bar in the rotor increased, a significant reduction was observed in all three torque (starting, maximum and nominal) values. It has been observed that the starting torque decreased by 13.77% for the 4 broken outer cage rotor bars motor according to the healthy motor.

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“…shows that the most common causes of the spindle vibrations can be divided into three categories: rotor, bearing, and electrical machinery. There are four reasons for rotor vibration: rotor imbalance, rotor bending, rotor misalignment, and rotor looseness, which can be detected and analyzed by FD techniques [39].…”

Section: Trajectory Of the Spindle Motion Modelmentioning

confidence: 99%

Vibration Detection and Experiment of PMSM High Speed Grinding Motorized Spindle Based on Frequency Domain Technology

Cheng

Gao

2019

Measurement Science Review

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The spindle vibrations of the high-speed grinding motorized spindle largely determine the machining quality and precision. In order to accurately predict the spindle vibrations of the PMSM high-speed grinding motorized spindle, the vibration causes are explored and analyzed. The radial vibration, inclined vibration, and axial vibration model are established. The experimental modal analysis method is proposed to analyze the dynamic response of the spindle and to identify the modal parameters of the spindle structure. Thereafter, the frequency response function (FRF) is calculated by self-power spectrum and cross-power spectrum. It is transformed into the vibration spectrum analysis of the spindle. The least-square method is used to fit the radial trajectory of the spindle. This paper aims to propose double standard spheres for 5-DOF spindle vibrations used to detect the spindle vibrations. In the experiment, the method proposed in this paper can effectively and accurately determine the causes of the spindle vibrations. The spectrum analysis and the trajectory are common tools in the spindle vibration detection.

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Fault analysis and diagnosis system for induction motors

Cited by 36 publications

References 15 publications

Shannon Entropy andK-Means Method for Automatic Diagnosis of Broken Rotor Bars in Induction Motors Using Vibration Signals

Shannon Entropy andK-Means Method for Automatic Diagnosis of Broken Rotor Bars in Induction Motors Using Vibration Signals

Dış Kafesinde Kırık Bar Arızası Olan Çift Kafesli Asenkron Motorun Performans Analizi

Vibration Detection and Experiment of PMSM High Speed Grinding Motorized Spindle Based on Frequency Domain Technology

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