Nowhere to Hide Methodology: Application of Clustering Fault Diagnosis in the Nuclear Power Industry

When a system crashes, fast and accurate log-based fault diagnosis can remarkably reduce the recovery time of the system and avoid further economic losses. Especially for the nuclear power industry, recovery time will lead not only to economic losses but also to international repercussions. Neverthe...
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Autor*in:	Cheng Zong [verfasserIn] Song Huang [verfasserIn] Erhu Liu [verfasserIn] Yongming Yao [verfasserIn] Shi-Qi Tang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Clustering fault diagnosis key log distributed control system (DCS) hidden target nodes (HTNs) hidden nontarget nodes (HNNs) detectable target nodes (DTNs)

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 7(2019), Seite 179864-179879
Übergeordnetes Werk:	volume:7 ; year:2019 ; pages:179864-179879

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2019.2957807

Katalog-ID:	DOAJ069695407

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source	In IEEE Access 7(2019), Seite 179864-179879 volume:7 year:2019 pages:179864-179879
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topic_facet	Clustering fault diagnosis key log distributed control system (DCS) hidden target nodes (HTNs) hidden nontarget nodes (HNNs) detectable target nodes (DTNs) Electrical engineering. Electronics. Nuclear engineering
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callnumber-first	T - Technology
author	Cheng Zong
spellingShingle	Cheng Zong misc TK1-9971 misc Clustering fault diagnosis misc key log misc distributed control system (DCS) misc hidden target nodes (HTNs) misc hidden nontarget nodes (HNNs) misc detectable target nodes (DTNs) misc Electrical engineering. Electronics. Nuclear engineering Nowhere to Hide Methodology: Application of Clustering Fault Diagnosis in the Nuclear Power Industry
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topic_title	TK1-9971 Nowhere to Hide Methodology: Application of Clustering Fault Diagnosis in the Nuclear Power Industry Clustering fault diagnosis key log distributed control system (DCS) hidden target nodes (HTNs) hidden nontarget nodes (HNNs) detectable target nodes (DTNs)
topic	misc TK1-9971 misc Clustering fault diagnosis misc key log misc distributed control system (DCS) misc hidden target nodes (HTNs) misc hidden nontarget nodes (HNNs) misc detectable target nodes (DTNs) misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Clustering fault diagnosis misc key log misc distributed control system (DCS) misc hidden target nodes (HTNs) misc hidden nontarget nodes (HNNs) misc detectable target nodes (DTNs) misc Electrical engineering. Electronics. Nuclear engineering
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title	Nowhere to Hide Methodology: Application of Clustering Fault Diagnosis in the Nuclear Power Industry
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title_sort	nowhere to hide methodology: application of clustering fault diagnosis in the nuclear power industry
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title_auth	Nowhere to Hide Methodology: Application of Clustering Fault Diagnosis in the Nuclear Power Industry
abstract	When a system crashes, fast and accurate log-based fault diagnosis can remarkably reduce the recovery time of the system and avoid further economic losses. Especially for the nuclear power industry, recovery time will lead not only to economic losses but also to international repercussions. Nevertheless, the massive quantity of obscure log information and the existence of hidden nodes pose major challenges to fault diagnosis and root cause determination. To overcome these obstacles, we propose the nowhere to hide (NTH) methodology, an efficient method to diagnose faults and locate root causes. We implement log-node and node-log mapping to avoid vital data loss in collecting fault logs and hidden nodes; furthermore, we utilize the logic of the nuclear power unit process system to reveal the crucial information in fault logs and hidden nodes and their causality to determine the root cause. We evaluate the methodology in a real nuclear industrial environment. The results show that system administrators can efficiently determine the root cause with the proposed methodology. Finally, we discuss the enhancements that are underway to improve the methodology.
abstractGer	When a system crashes, fast and accurate log-based fault diagnosis can remarkably reduce the recovery time of the system and avoid further economic losses. Especially for the nuclear power industry, recovery time will lead not only to economic losses but also to international repercussions. Nevertheless, the massive quantity of obscure log information and the existence of hidden nodes pose major challenges to fault diagnosis and root cause determination. To overcome these obstacles, we propose the nowhere to hide (NTH) methodology, an efficient method to diagnose faults and locate root causes. We implement log-node and node-log mapping to avoid vital data loss in collecting fault logs and hidden nodes; furthermore, we utilize the logic of the nuclear power unit process system to reveal the crucial information in fault logs and hidden nodes and their causality to determine the root cause. We evaluate the methodology in a real nuclear industrial environment. The results show that system administrators can efficiently determine the root cause with the proposed methodology. Finally, we discuss the enhancements that are underway to improve the methodology.
abstract_unstemmed	When a system crashes, fast and accurate log-based fault diagnosis can remarkably reduce the recovery time of the system and avoid further economic losses. Especially for the nuclear power industry, recovery time will lead not only to economic losses but also to international repercussions. Nevertheless, the massive quantity of obscure log information and the existence of hidden nodes pose major challenges to fault diagnosis and root cause determination. To overcome these obstacles, we propose the nowhere to hide (NTH) methodology, an efficient method to diagnose faults and locate root causes. We implement log-node and node-log mapping to avoid vital data loss in collecting fault logs and hidden nodes; furthermore, we utilize the logic of the nuclear power unit process system to reveal the crucial information in fault logs and hidden nodes and their causality to determine the root cause. We evaluate the methodology in a real nuclear industrial environment. The results show that system administrators can efficiently determine the root cause with the proposed methodology. Finally, we discuss the enhancements that are underway to improve the methodology.
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title_short	Nowhere to Hide Methodology: Application of Clustering Fault Diagnosis in the Nuclear Power Industry
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