Proceedings ArticleDOI
Determination of faults in 3–Ø Induction Motor By Motor Current Signature Analysis
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TLDR
Detailed analysis is presented of how fault frequency is inducing as byproduct of unique rotating flux components and how fault Frequency is modulated in stator current which was not done so far.Abstract:
Induction machine is horse power equipment for industry. It is widely used as drive of many industrial processes but their unexpected failure can cause heavy production loss. Motor current signature analysis (MCSA) is monitoring a parameter of condition in machinery viz the instantaneous current which contain all frequency contain for identification of characteristic fault signature at early stage for avoiding unexpected failure like rotor defect (fragments of rotor bar), stator fault and air-gap peculiar fault. This paper present detailed analysis of how fault frequency is inducing as byproduct of unique rotating flux components and how fault frequency is modulated in stator current which was not done so far. The MCSA Simulation is done by using MATLAB R2017a/Simulink.read more
Citations
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Induction Machine Emulation For Open Circuit and Short Circuit Grid Faults
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References
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Journal ArticleDOI
A review of induction motors signature analysis as a medium for faults detection
TL;DR: The fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induction motors are introduced.
Journal ArticleDOI
Fault Detection in a Multistage Gearbox by Demodulation of Motor Current Waveform
Amiya R Mohanty,Chinmaya Kar +1 more
TL;DR: This paper deals with the demodulation of the current signal of an induction motor driving a multistage gearbox for its fault detection.
Journal ArticleDOI
Monitoring of defects in induction motors through air-gap torque observation
TL;DR: In this article, the authors proposed a method to monitor defects such as cracked rotor bars and shorted stator coils in induction motors by measuring air-gap torque while the motor is running.
Journal ArticleDOI
Online Detection of Broken Rotor Bars in Induction Motors by Wavelet Packet Decomposition and Artificial Neural Networks
TL;DR: The system provides a feature representation of multiple frequency resolutions for faulty modes and accurately differentiates between healthy and faulty conditions, and its main applicability is to dynamic time-variant signals experienced in induction motors during run time.
Motor Current Signature Analysis To Detect Faults In Induction Motor Drives - Fundamentals, Data Interpretation, And Industrial Case Histories.
TL;DR: The EM Diagnostics Ltd, based in Alford, Aberdeenshire, Scotland, has been operating since 2001 as discussed by the authors, with a focus on condition monitoring of electrical drives.