CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Rotor-bar breakage mechanism and prognosis in an induction motor
Authors
JA Antonino-Daviu
V Climente-Alarcon
M Riera-Guasp
EG Strangas
Publication date
1 January 2015
Publisher
IEEE Transactions on Industrial Electronics
Doi
Cite
Abstract
© 1982-2012 IEEE. This paper proposes a condition-based maintenance and prognostics and health management (CBM/PHM) procedure for a rotor bar in an induction motor. The methodology is based on the results of a fatigue test intended to reproduce in the most natural way a bar breakage in order to carry out a comparison between transient and stationary diagnosis methods for incipient fault detection. Newly developed techniques in stator-current transient analysis have allowed tracking the developing fault during the last part of the test, identifying the failure mechanism, and establishing a physical model of the process. This nonlinear failure model is integrated in a particle filtering algorithm to diagnose the defect at an early stage and predict the remaining useful life of the bar. An initial generalization of the results to conditions differing from the ones under which the fatigue test was developed is studied
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
RiuNet
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:riunet.upv.es:10251/95446
Last time updated on 25/12/2019
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1109%2Ftie.2014.23...
Last time updated on 03/01/2020
Sustaining member
Apollo (Cambridge)
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:www.repository.cam.ac.uk:1...
Last time updated on 20/11/2019