Neuro-Fuzzy Sensor Fault Diagnosis of an Induction Motor

M. L. Benloucif

doi:10.24200/tjer.vol8iss1pp53-60

Article Details

Neuro-Fuzzy Sensor Fault Diagnosis of an Induction Motor

Authors:

M. L. Benloucif

Publisher:

Muscat Sultan Qaboos University

Journal:

The Journal of Engineering Research Vol.8 Issue 1, pp.53-60

Document Type:

Article

Publication Date:

1/2025

Document Language:

English

Document ID (Org No.):

2001385404

pISSN:

1726-6742

DOI:

10.24200/tjer.vol8iss1pp53-60

Abstract:

 In this paper, a neuro-fuzzy fault diagnosis scheme is presented and its ability to detect and isolate sensor faults in an induction motor is assessed. This fault detection and isolation (FDI) approach relies on a combination of neural modelling and fuzzy logic techniques which can deal effectively with nonlinear dynamics and uncertainties. It is based on a two step neural network procedure: a first neural network is used for residual generation and a second fuzzy neural network performs residual evaluation. Simulation results are given to demonstrate the efficiency of this FDI approach.

Article Details

Neuro-Fuzzy Sensor Fault Diagnosis of an Induction Motor

Authors: M. L. Benloucif

Publisher: Muscat Sultan Qaboos University

Journal: The Journal of Engineering Research Vol.8 Issue 1, pp.53-60

Document Type: Article

Publication Date: 1/2025

Document Language: English

Document ID (Org No.): 2001385404

pISSN: 1726-6742

DOI: 10.24200/tjer.vol8iss1pp53-60

Issues

Authors:

M. L. Benloucif

Publisher:

Muscat Sultan Qaboos University

Journal:

The Journal of Engineering Research Vol.8 Issue 1, pp.53-60

Document Type:

Article

Publication Date:

1/2025

Document Language:

English

Document ID (Org No.):

2001385404

pISSN:

1726-6742

DOI:

10.24200/tjer.vol8iss1pp53-60