The DOI matches its Crossref record.
Assessment of the Reliability of Motors in Utility Applications - Updated
Abstract
An Industry Assessment Study (IAS) was conducted to evaluate the present reliability of powerhouse motors and to identify design and operational characteristics which, through advanced development, offer the potential of increased motor, and therefore, power plant reliability. The primary objective of the IAS was to collect, analyze, and interpret candid, detailed information concerning motor application, operating factors, installation, manufacturer, failures and causes of failures. The survey data covers 6312 motors from 168 generating units representing 65 utilities. This data covers 40 percent of the population surveyed. The large quantity of data allows a meaningful analysis when it is broken down into smaller groupings.
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Cited by
Review of condition monitoring of rotating electrical machines
Tavner, P. J. (2008) · IET Electric Power Applications · doi:10.1049/iet-epa:20070280 · Cited by 531
Metadata
- Authors
- Albrecht, P. F., Appiarius, J. C., McCoy, R. M., Owen, E. L., & Sharma, D. K.
- Venue
- IEEE Transactions on Energy Conversion
- Published
- 1986-03
- Volume
- EC-1
- Issue
- 1
- Pages
- 39-46
- ISSN
- 0885-8969 (ISSN-L)
- 1558-0059
- OpenAlex
- W2029959080
- Cited by
- 334
- References
- 0
- FWCI
- 11.44
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Assessment of the Reliability of Motors in Utility Applications - Updated. https://app.cochat.ai/papers/10.1109/tec.1986.4765668
- The paper
- Albrecht, P. F., Appiarius, J. C., McCoy, R. M., Owen, E. L., & Sharma, D. K. (1986). Assessment of the Reliability of Motors in Utility Applications - Updated. IEEE Transactions on Energy Conversion. https://doi.org/10.1109/tec.1986.4765668
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
