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Article
CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity
The main problem in data-driven anomaly detection of gas turbines is that the monitoring data consists of only a very small number of abnormal samples with the overwhelming majority of normal samples. To addre...
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Article
The carbon emission and maintenance-cost guided optimization of aero-engine clearance schedule
Aero-engine clearance is an important way to reduce carbon emission, save fuel consumption, and decrease maintenance costs. To solve the problem of insufficient clearance caused by the current regular cleaning...