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論文
2段階オートエンコーダの 発電所データでの異常予兆検知性能評価
著者:
田口 安則 Yasunori TAGUCHI 内藤 晋 Susumu NAITO 加藤 佑一 Yuichi KATO 中田 康太 Kouta NAKATA 富永 真哉 Shinya TOMINAGA 高戸 直之 Naoyuki TAKADO 三宅 亮太 Ryota MIYAKE 寺門 優介 Yusuke TERAKADO 青木 俊夫 Toshio AOKI 高森 由己夫 Yukio TAKAMORI 大熊 栄一 Eiichi OOKUMA
発刊日:
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キーワードタグ:
In power plant, the operator monitors measured values of many installed sensors for operation and maintenance. Since the number that can be visually confirmed is limited, we have proposed two-stage autoencoder for anomaly detection. The latest version was developed to suppress false positives due to spurious correlations in training data, and its effectiveness was shown using simulation data. In this paper, the anomaly detection performance is shown using the operational data of an actual power plant. As a ...
英字タイトル:
Performance Evaluation of the Anomaly Detection by Two-Stage Autoencoder using Power Plant Data
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論文
次世代炉の合理的な設計のための 保全の観点からのプラント設計上の課題抽出手法の提案
著者:
橋立 竜太 Ryuta HASHIDATE 矢田 浩基  Hiroki YADA 高屋 茂  Shigeru TAKAYA 江沼 康弘 Yasuhiro ENUMA
発刊日:
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In this paper, we propose a new method for extracting design issues on maintenance. Maintenance periods might be prolonged due to design issues. In the proposed method, maintenance preconditions are extracted by organizing the design information. A maintenance schedule is created by using extracted maintenance preconditions. If the created maintenance schedule doesn't achieve target periods, design issues could be extracted from the viewpoint of maintenance precondition. A simple example using "Monju" desig...
英字タイトル:
Proposal of a Method of Extracting Design Issues on Maintenance for the Rational Design of Next-Generation Reactors