第17回
AIを用いた異常予兆検知システムの開発 (1)異常予兆検知AI技術「2段階オートエンコーダ」
著者:
内藤 晋,田口 安則,加藤 佑一,中田 康太,(東芝),名倉 伊作,富永 真哉,三宅 亮太,青木 俊夫,宮本 千賀司,高戸 直之,(東芝ESS)
発刊日:
公開日:
キーワードタグ:
In large-scale power plants such as nuclear and thermal power plants, thousands of sensors are installed to monitor the performance and health of the plant. However, it is difficult for operators to monitor all sensor values at all times. Therefore, Toshiba has developed a unique AI technology that comprehensively monitors thousands of sensor values and detects possible abnormalities earlier than humans. In a power plant, there are major fluctuations in sensor values during operation and minute fluctuations...
英字タイトル:
Development of anomaly detection system using AI Anomaly detection AI technology, two-stage autoencoder
第17回
AIを用いた異常予兆検知システムの開発 (2)2段階オートエンコーダの発電所データでの評価
著者:
田口 安則,内藤 晋,加藤 佑一,中田 康太,(東芝),富永 真哉,名倉 伊作,三宅 亮太,青木 俊夫,寺門 優介,高戸 直之,高森 由己夫,(東芝ESS),大熊 栄一,(東芝デジタル&コンサルティング)
発刊日:
公開日:
キーワードタグ:
In power plants, a large number of sensors are installed and the measured values are used to control and operate the plants. Although operators monitor the measured values for daily operation and maintenance, the number that can be visually confirmed is limited. So far, we have proposed two-stage autoencoder for anomaly detection. To evaluate its effectiveness, it and simple autoencoder as a comparison method were applied to the operational data of a power plant. As a result, deterioration of a thermometer ...
英字タイトル:
Development of Anomaly Detection System using AI (2) Evaluation of two-stage autoencoder using power plant data