Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A novel multi-agent approach to identify faults in line connected three-phase induction motors

Full text
Author(s):
Cunha Palacios, Rodrigo H. [1, 2] ; da Silva, Ivan N. [1] ; Goedtel, Alessandro [2] ; Godoy, Wagner F. [1, 2]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, Sao Carlos Sch Engn, Dept Elect Engn, Ave Trabalhador Sao Carlense, 400, Ctr, BR-13566590 Sao Carlos, SP - Brazil
[2] Fed Technol Univ Parana, Dept Elect Engn, Ave Alberto Carazzai, 1640, Ctr, BR-86300000 Cornelio Procopio, PR - Brazil
Total Affiliations: 2
Document type: Journal article
Source: APPLIED SOFT COMPUTING; v. 45, p. 1-10, AUG 2016.
Web of Science Citations: 15
Abstract

Three-phase induction motors (TIMs) are the key elements of electromechanical energy conversion in a variety of productive sectors. Identifying a defect in a running motor, before a failure occurs, can provide greater security in the decision-making processes for machine maintenance, reduced costs and increased machine operation availability. This paper proposes a new approach for identifying faults and improving performance in three-phase induction motors by means of a multi-agent system (MAS) with distinct behavior classifiers. The faults observed are related to faulty bearings, breakages in squirrel-cage rotor bars, and short-circuits between the coils of the stator winding. By analyzing the amplitudes of the current signals in the time domain, experimental results are obtained through the different methods of pattern classification under various sinusoidal power and mechanical load conditions for TIMs. The use of an MAS to classify induction motor faults allows the agents to work in conjunction in order to perform a specific set of tasks and achieve the goals. This technique proved its effectiveness in the evaluated situations with 1 and 2 hp motors, providing an alternative tool to traditional methods to identify bearing faults, broken rotor bars and stator short-circuit faults in TIMs. (C) 2016 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 11/17610-0 - Monitoring and control of dynamic systems subject to faults
Grantee:Roberto Kawakami Harrop Galvão
Support Opportunities: Research Projects - Thematic Grants