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- Title
Fuzzy Logic Based Broken Bar Fault Diagnosis and Behavior Study of Induction Machine.
- Authors
Chouidira, Ibrahim; Khodja, Djalal Eddine; Chakroune, Salim
- Abstract
This study aims to display fuzzy logic (FL) technique for diagnosis of fault induction machine. This allows monitoring of fuzzy information from different signals to give more accurate judgment on the health of the engine, through using a multi-winding model of induction machine for the simulation of broken bars. This model allows study the influence of defects and appear the behavior of the machine in the different modes of running conditions (healthy and fault). In this work, we focus the application of a fuzzy logic technique based on the fast Fourier transformation (FFT) by analyzing the stator current for fault detection. The results of the simulation obtained allowed us to show the importance of the fuzzy logic approach based on classification of signals for detecting the faulty.
- Subjects
INDUCTION machinery; ELECTRIC power system faults; FUZZY logic; COMPUTER simulation; FAST Fourier transforms
- Publication
Journal Européen des Systèmes Automatisés, 2020, Vol 53, Issue 2, p233
- ISSN
1269-6935
- Publication type
Article
- DOI
10.18280/jesa.530210