Search:
Computing and Library Services - delivering an inspiring information environment

Detection and Diagnosis of Broken Rotor Bar Based on the Analysis of Signals from a Variable Speed Drive

Ashari, Djoni, Lane, Mark, Gu, Fengshou and Ball, Andrew (2014) Detection and Diagnosis of Broken Rotor Bar Based on the Analysis of Signals from a Variable Speed Drive. In: 3rd International Workshop and Congress on eMaintenance, 17th - 18th June 2014, Lulea, Sweden.

[img] PDF - Accepted Version
Download (294kB)

Abstract

In this paper, the diagnosis of broken rotor bar (BRB) is investigated analytically and experimentally based on induction motors (IM) with variable speed drives (VSD). The analysis of the VSD process has understood that the sensorless control mode adjusts both supply voltage and current in order to maintain the operating speed within high accuracy. It means that any asymmetric problems with the rotor such as BRB will cause changes to current, voltage and power signals. Therefore, all of these signals can be used to diagnose BRB. However, experimental studies show that the components at twice slip frequency can be extracted more reliably in the spectrum of power signal which contains diagnostic information of both current and voltage signals. Consequently, it produces better results in separating different BRB cases under sensorless control mode, compared with that of using either current or voltage signal.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published in the Proceedings of the 3rd International Workshop and Congress on eMaintenance, 2014, 978-91-7439-972-1
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Related URLs:
Depositing User: Cherry Edmunds
Date Deposited: 01 Jul 2014 09:07
Last Modified: 01 Dec 2016 14:01
URI: http://eprints.hud.ac.uk/id/eprint/21060

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©