A General Approach for Current-Based Condition Monitoring of Induction Motors
- Submitting institution
-
Loughborough University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 408
- Type
- D - Journal article
- DOI
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10.1115/1.4026874
- Title of journal
- Journal of Dynamic Systems, Measurement, and Control
- Article number
- 041024
- First page
- -
- Volume
- 136
- Issue
- 4
- ISSN
- 0022-0434
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A robust model-based method is used to identify major faults in the electric motors and has been applied by Powel Industries (petrochemical / refineries) on their drive units SI Motor Manager 89-13-34, MM5M-SX00. The new model-based fault diagnosis method is implemented by the company on their motor controller. The method is based on mathematical model of the motor and uses artificial intelligence to detect the major faults accurately. The procedure developed is being further developed in modelling of an electric drive system in APC11 VIVID project with Ford, IPG and McLaren.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
