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Data-Driven Fault D...
Data-Driven Fault Diagnosis of Once-through Benson Boilers
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- Saman Azari, Mehdi (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),ERES;DISA-SIG
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- Flammini, Francesco, Senior Lecturer, 1978- (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),ERES;DISA-SIG
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- Caporuscio, Mauro, 1975- (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),ERES;DISA-SIG
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- Santini, Stefania (författare)
- University of Naples Federico II, Italy
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(creator_code:org_t)
- IEEE Press, 2019
- 2019
- Engelska.
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Ingår i: 2019 4th International Conference on System Reliability and Safety (ICSRS). - : IEEE Press. - 9781728147819 - 9781728147802 ; , s. 345-354
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Fault diagnosis (FD) of once-through Benson boilers, as a crucial equipment of many thermal power plants, is of paramount importance to guarantee continuous performance. In this study, a new fault diagnosis methodology based on data-driven methods is presented to diagnose faults in once-through Benson boilers. The present study tackles this issue by adopting a combination of data-driven methods to improve the robustness of FD blocks. For this purpose, one-class versions of minimum spanning tree and K-means algorithms are employed to handle the strong interaction between measurements and part load operation and also to reduce computation time and system training error. Furthermore, an adaptive neuro-fuzzy inference system algorithm is adopted to improve accuracy and robustness of the proposed fault diagnosing system by fusion of the output of minimum spanning tree (MST) and K-means algorithms. Performance of the presented scheme against six major faults is then assessed by analyzing several test scenario.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- fault diagnosis;once-through boiler;data-driven;data fusion;MST;K-means;ANFIS
- Data- och informationsvetenskap
- Computer and Information Sciences Computer Science
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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