TITLE:
Testing and Analysis of Induction Motor Electrical Faults Using Current Signature Analysis
AUTHORS:
K. Prakasam, S. Ramesh
KEYWORDS:
Three Phase Induction Motor, Motor Current Signature Analysis (MCSA), ZSVC, Fault Diagnosis, Current Spectrum Analysis
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.9,
July
28,
2016
ABSTRACT: The proposed method deals
with the emerging technique called as Motor Current Signature Analysis (MCSA)
to diagnosis the stator faults of Induction Motors. The performance of the
proposed method deals with the emerging technique called as Motor Current
Signature Analysis (MCSA) and the Zero-Sequence Voltage Component (ZSVC) to
diagnose the stator faults of Induction Motors. The unalleviated study of the
robustness of the industrial appliances is obligatory to verdict the fault of
the machines at precipitate stages and thwart the machine from brutal damage.
For all kinds of industry, a machine failure escorts to a diminution in
production and cost increases. The Motor Current Signature Analysis (MCSA) is
referred as the most predominant way to diagnose the faults of electrical
machines. Since the detailed analysis of the current spectrum, the method will
portray the typical fault state. This paper aims to present dissimilar stator
faults which are classified under electrical faults using MCSA and the
comparison of simulation and hardware results. The magnitude of these fault
harmonics analyzes in detail by means of Finite-Element Method (FEM). The
anticipated method can effectively perceive the trivial changes too during the
operation of the motor and it shows in the results.