NDLI: Detection of stator incipient faults and identification of faulty phase in three-phase induction motor

Content Provider	IET Digital Library
Author	Devi, Neerukonda Rama Sarma, Dhanikonda V. S. S. Siva Rao, Pulipaka V. Ramana
Abstract	Motor current signature analysis is a well-known method for the diagnosis of stator incipient faults on a three-phase induction motor (IM). In classical motor current signature analysis the fault feature is extracted by analysing the frequency spectrum obtained from the Fourier analysis. However, for proper fault diagnosis, time–frequency domain analysis is required. This study proposes an algorithm based on wavelet analysis for detection of stator incipient faults and identification of faulty phase in three-phase IM. A turn level distributed parameter model of a 3-hp IM is considered for the simulation of inter-turn faults. The parameters used in the simulated model are calculated by conducting experiments on a 3-hp IM. This model is validated by comparing the frequency response of the simulated model with the frequency response measured on practical machine. The proposed algorithm uses an adaptive threshold-based logic for detecting the inter-turn faults and identifying the faulty phase. The algorithm is validated with data generated by the specially designed 3-hp IM. The experimental and simulation results show that the proposed algorithm is effective in detecting the inter-turn faults and identifying the faulty phase even in the presence of supply unbalance conditions.
Starting Page	540
Ending Page	548
Page Count	9
ISSN	17518660
Volume Number	9
e-ISSN	17518679
Issue Number	Issue 8, Sep (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-epa/9/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-epa.2015.0024
Journal	IET Electric Power Applications
Publisher Date	2015-09-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Asynchronous Machine Fault Diagnosis Fault Feature Extraction Faulty Phase Identification Feature Extraction Fourier Analysis Frequency Spectrum Analysis Interturn Fault Simulation Mathematical Analysis Motor Current Signature Analysis Squirrel Cage Motors Squirrel-cage Induction Motors Stator Incipient Fault Detection Stators Supply Unbalance Condition Three-phase Induction Motor Time-frequency Analysis Time-frequency Domain Analysis Turn Level Distributed Parameter Model
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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