Open AccessRobustification of fault detection algorithm in a three‐phase induction motor using MCSA for various single and multiple faults
Author(s) -
Kompella K. C. Deekshit,
Rongala Naga Sreenivasu,
Rayapudi Srinivasa Rao,
Mannam Venu Gopala Rao
Publication year - 2021
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/elp2.12049
Subject(s) - induction motor , fault detection and isolation , fault (geology) , algorithm , computer science , matlab , process (computing) , phasor , reliability (semiconductor) , engineering , control theory (sociology) , control engineering , artificial intelligence , power (physics) , actuator , electric power system , voltage , physics , control (management) , quantum mechanics , seismology , geology , electrical engineering , operating system
Fault diagnosis in induction machines, particularly at a premature stage, has become necessary to avoid unexpected interruption of the industrial process. Moreover, a reliable and cost‐effective fault detection process is highly essential to avoid inappropriate shut down of the machine. Thus, a critical comparison is done between two popular pre‐fault component cancellation techniques and a reliability test is performed to develop a robust algorithm for fault diagnosis in three‐phase induction motor. To achieve this, various single and multiple faults experienced by induction motor are created and tested to examine the effectiveness of developed algorithm. Evaluation of the proposed topology based on motor current signature analysis is done by repeating the process for several times and tested for consistency. As a part of this, various feature extraction parameters are computed and compared to identify the best estimate of fault and its seriousness. The proposed technique is examined in MATLAB and LabVIEW environment and experiments on a three‐phase, 1.5‐kW induction motor.