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- KIMURA Daisaku
- Graduate School of Engineering, University of Hyogo
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- NII Manabu
- Graduate School of Engineering, University of Hyogo
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- TAKAHASHI Yutaka
- Graduate School of Engineering, University of Hyogo
Bibliographic Information
- Other Title
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- 化学プラントにおける運転員を支援する制御系異常検知システムの開発
- カガク プラント ニ オケル ウンテンイン オ シエン スル セイギョケイ イジョウ ケンチ システム ノ カイハツ
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Abstract
In chemical plants, a process control system (PCS), which is composed of instruments and a distributed control system(DCS), is widely used for the plant automation. Important infrastructure equipment is considered critical to the safe operation of a plant. Failures of the PCS can lead to extremely dangerous accidents such as leakage of poisonous gas or fluid potentially leading to an explosion. Therefore, the plant maintenance department conducts planned activities to prevent failure. However, it is very difficult in actuality to reduce the failure to zero by only planned maintenance. Consequently, to detect a sign of failure early, the plant operators carefully monitor the critical process variables and patrol the facilities in the field as part of their work. Additionlly, nowadays advanced present chemical plants in automation increase the operator’s role such as ensuring safety, saving energy and environment not just controlling amount of production as planned. As the result, their burden of work is higher than before. In this paper, we propose a fault detection method of the instrument devices based on fuzzified neural networks with less adjusting parameters, which helps the operator’s detection.
Journal
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- Human Factors in Japan
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Human Factors in Japan 17 (2), 50-60, 2013
The Society for Industrial Plant Human Factors of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282680206809088
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- NII Article ID
- 130003376501
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- NII Book ID
- AA12122361
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- ISSN
- 21862389
- 13494910
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- NDL BIB ID
- 024350646
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed