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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...

    Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao in Neural Computing and Applications (2023)

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    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...

    Zhiqi Yan, Zhiquan Cui, Minghang zhao in The International Journal of Advanced Manu… (2023)