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- Ohga Yukiharu
- Hitachi, Ltd.
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- Moriguchi Kazuo
- Hitachi, Ltd.
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- Honda Seiji
- The Kansai Electric Power, Co., Inc.
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- Nakagawa Hiroto
- The Kansai Electric Power, Co., Inc.
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A fault diagnosis system has been developed to prevent serious accidents in a hydraulic turbine generator by detecting anomalies in their early stages. The system predicts the bearing temperature change by using the physical dynamic model of the bearing related components, such as the bearing pad and lubricating oil cooler. The unmeasurable parameter values in the model, e.g. bearing gap width, are estimated on-line by minimizing the differences between the measured and calculated values of bearing and oil temperatures using a nonlinear optimization method. The system detects and diagnoses the anomalies based on the prediction results and estimated parameter values.After evaluating the feasibility using a 1/3 scale test facility, the system was installed in the Okutataragi Pumped Storage Power Plant of the Kansai Electric Power Co., Inc. Accurate prediction performance was confirmed for the system which is now being used for commercial operation.
収録刊行物
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- 電気学会論文誌B(電力・エネルギー部門誌)
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電気学会論文誌B(電力・エネルギー部門誌) 122 (4), 492-497, 2002
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390282679581012992
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- NII論文ID
- 130006840852
- 10007983658
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- NII書誌ID
- AN10136334
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- ISSN
- 13488147
- 03854213
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- NDL書誌ID
- 6123197
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
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- 使用不可