Title :
Fuzzy Detection and Diagnosis of Fault Modes in a Voltage-Fed PWM Inverter Induction Motor
Author :
Zidani, F. ; Diallo, D. ; Benbouzi, M. E H ; Nait-Said, Rachid
Author_Institution :
LSPIE, Batna Univ.
Abstract :
This paper describes a fuzzy-based method of fault detection and diagnosis in a PWM inverter feeding an induction motor. The proposed fuzzy approach is a sensor-based technique using the mains current measurement to detect intermittent loss of firing pulses in the inverter switches. A localization domain made with seven patterns is built with the stator Concordia current vector. One is dedicated to the healthy domain and the last six to each inverter switch. The fuzzy fault detector is designed on the basis of stator current analysis. Simulated experimental results on 1.5-kW induction motor drives show the feasibility of the proposed approach
Keywords :
PWM invertors; electric current measurement; electric sensing devices; fault diagnosis; fuzzy systems; induction motor drives; 1.5 kW; current measurement; fault detection; fault modes diagnosis; firing pulses; fuzzy detection; induction motor drive; intermittent loss detection; inverter switches; localization domain; sensor-based technique; stator Concordia current vector; stator current analysis; voltage-fed PWM inverter; Current measurement; Fault detection; Fault diagnosis; Induction motors; Pulse inverters; Pulse measurements; Pulse width modulation inverters; Stators; Switches; Voltage;
Conference_Titel :
Electric Machines and Drives, 2005 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-8987-5
Electronic_ISBN :
0-7803-8988-3
DOI :
10.1109/IEMDC.2005.195806
