Proposal and Application of Chaos Information Criteria for High-pressure Gas Leak Detection in Petroleum Refining Plant
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- Tani Tetsuji
- Idemitsu Kosan Co., Ltd.
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- Nagasako Toru
- Idemitsu Kosan Co., Ltd.
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- Fujimoto Yasunari
- Research Institute of Application Technologies for Choas & Complex Systems Co., Ltd.
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- Iokibe Tadashi
- Research Institute of Application Technologies for Choas & Complex Systems Co., Ltd.
Bibliographic Information
- Other Title
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- 石油精製プラントにおける高圧ガス漏洩検知へのカオス情報規範の提案と適用
- セキユ セイセイ プラント ニ オケル コウアツ ガス ロウエイ ケンチ エ ノ カオス ジョウホウ キハン ノ テイアン ト テキヨウ
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Abstract
In a petroleum refining plant, the high-pressure gas leaks resulting from equipment failures may lead to disasters. To minimize these disasters, technology for the early detection of leak sound is indispensable. We assumed that background noise in a petroleum refining plant is a steady sound generated by various devices under normal conditions; there is no dominant sound, on the other hand high-pressure gas leak results in a dominant sound. We have employed chaos theory to identify these dominant sounds, and have already reported these results in papers listed in reference 1 and 2. However, the leak sound is not always more regular than the background noise depending on measuring places or leak conditions. In order to detect the high-pressure gas leak sound, it is necessary to estimate the steady state range quantitatively employing chaos theory from the background noise for every measuring point, and examine whether the observed sound is out of the range or not: the observed sound is more regular or more irregular than the background noise. Based on the concept stated above, employing chaos information criteria, we conducted the leak sound detection experiment by leaking steam artificially using a silencer nozzle near the benzene recovery unit in Idemitsu Kosan Chiba Refinery. This paper describes the leak sound detection algorism, the outline and results of experiment.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 21 (0), 95-95, 2005
Japan Society for Fuzzy Theory and Intelligent Informatics
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Keywords
Details 詳細情報について
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- CRID
- 1390282680644542208
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- NII Article ID
- 130005035114
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 024278639
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed