IIR document
On-line failure diagnosis for compression refrigeration plants.
Author(s) : GRIMMELIUS H. T., KLEIN-WOUD J., BEEN G.
Type of article: Article, IJR article
Summary
Based on a combination of causal analysis, expert knowledge and simulated failure modes, a failure mode symptom matrix has been created. Healthy system behaviour is predicted based on a regression analysis model. Using multi-valued (or "fuzzy") logic, real-time recognition of failure modes, at an early stage, proved to be possible. Future developments for improvement of diagnostic systems in compression refrigeration plants are discussed.
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Pages: 31-41
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Details
- Original title: On-line failure diagnosis for compression refrigeration plants.
- Record ID : 1995-0864
- Languages: English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 18 - n. 1
- Publication date: 1995/01
Links
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Indexing
- Themes: Compression systems
- Keywords: Software; Fuzzy logic; Compression system; Simulation; Failure; Refrigerating plant; Detection
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- Date : 2008/03
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- Source: Hydrocarbon Processing - vol. 87 - n. 3
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- Date : 1994/11
- Languages : Dutch
- Source: Koude & Luchtbehandeling - vol. 87 - n. 11
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- Author(s) : FRANCO I. C., DALL'AGNOL M., COSTA T. V., et al.
- Date : 2011/12
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 34 - n. 8
- Formats : PDF
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- Author(s) : KOCYIGIT N.
- Date : 2015/02
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 50
- Formats : PDF
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Installations frigorifiques à l'ammoniac : proj...
- Author(s) : VRINAT G.
- Date : 1993/06/15
- Languages : French
- Source: Club Ammoniac - 11 p.; 7 fig.; 1 tabl.
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