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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Modelling of a compression refrigeration plant ...
- Author(s) : GRIMMELIUS H. T.
- Date : 1995/08/20
- Languages : English
- Source: For a Better Quality of Life. 19th International Congress of Refrigeration.
- Formats : PDF
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- Date : 2014/07/14
- Languages : English
- Source: 2014 Purdue Conferences. 15th International Refrigeration and Air-Conditioning Conference at Purdue.
- Formats : PDF
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- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 161
- Formats : PDF
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- Date : 1994/11/16
- Languages : German
- Source: DKV-Tagungsbericht 1994 Bonn.
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- Date : 2008/03
- Languages : English
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