NDLI: Fault detection and isolation based on fuzzy-integral fusion approach

Content Provider	IET Digital Library
Author	Jafari, Hamideh Poshtan, Javad
Abstract	In this study, the bearing, as well as the electric faults of an induction motor, are diagnosed using the fuzzy-integral data-fusion method in feature level with high reliability. Time domain of various features is computed using the induction motor three-phase current and voltage measurements. Appropriate features are extracted by means of the proposed method and then classified by the fuzzy C-means algorithm. The fuzzy membership functions show the relation between a feature set and a fault to establish the mappings between the features and the given faults. Finally, different features are fused using the fuzzy-integral method to produce diagnostic results. The technique is validated experimentally on an induction motor coupled with a centrifugal pump. The capability of the proposed technique is also evaluated in the presence of disturbances and simultaneous occurrence of different faults. The results indicate an increase in the reliability in fault detection and isolation.
Starting Page	296
Ending Page	302
Page Count	7
ISSN	17518822
Volume Number	13
e-ISSN	17518830
Issue Number	Issue 2, Mar (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/13/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2018.5005
Journal	IET Science, Measurement & Technology
Publisher Date	2018-11-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Appropriate Features Asynchronous Machine Centrifugal Pump Combinatorial Mathematics Different Fault Different Features Electric Fault Fault Detection Fault Diagnosis Fault Isolation Feature Level Feature Set Fuzzy C-means Algorithm Fuzzy Membership Function Fuzzy Set Theory Fuzzy-integral Data-fusion Method Fuzzy-integral Fusion Approach Fuzzy-integral Method Given Fault High Reliability Induction Motor Induction Motors Isolation Pumps Sensor Fusion Three-phase Current Time Domain Voltage Measurement
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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