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Failure time prognosis in manufacturing process using multi-dislocated time series convolutional neural network
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering ( IF 2.3 ) Pub Date : 2020-11-26 , DOI: 10.1177/0954408920974141 Bohao Li 1 , Liping Zhao 1 , Yiyong Yao 2
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering ( IF 2.3 ) Pub Date : 2020-11-26 , DOI: 10.1177/0954408920974141 Bohao Li 1 , Liping Zhao 1 , Yiyong Yao 2
Affiliation
Failure time prognosis in manufacturing process plays a crucial role in guaranteeing manufacturing safety and reducing maintenance loss. However, most current prognosis methods face great difficult...
中文翻译：
使用多位错时间序列卷积神经网络预测制造过程中的失效时间
制造过程中的故障时间预测对于保证制造安全和减少维护损失起着至关重要的作用。然而，目前大多数的预测方法都面临着很大的困难......
更新日期：2020-11-26
中文翻译：
使用多位错时间序列卷积神经网络预测制造过程中的失效时间
制造过程中的故障时间预测对于保证制造安全和减少维护损失起着至关重要的作用。然而，目前大多数的预测方法都面临着很大的困难......
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