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Enhancing resilience in marine propulsion systems by adopting machine learning technology for predicting failures and prioritising maintenance activities
Journal of Marine Engineering & Technology ( IF 2.6 ) Pub Date : 2023-08-17 , DOI: 10.1080/20464177.2023.2243748 Mohsen Elmdoost-gashti 1 , Mahmood Shafiee 2 , Ali Bozorgi-Amiri 1
Journal of Marine Engineering & Technology ( IF 2.6 ) Pub Date : 2023-08-17 , DOI: 10.1080/20464177.2023.2243748 Mohsen Elmdoost-gashti 1 , Mahmood Shafiee 2 , Ali Bozorgi-Amiri 1
Affiliation
With the rapid transition towards Industry 4.0, many industries have recognised the need to develop intelligent maintenance systems and predictive analytics tools that are able to optimise the perf...
中文翻译：
通过采用机器学习技术来预测故障并确定维护活动的优先级，增强船舶推进系统的弹性
随着向工业 4.0 的快速过渡，许多行业已经认识到需要开发能够优化性能的智能维护系统和预测分析工具。
更新日期：2023-08-17
中文翻译：
通过采用机器学习技术来预测故障并确定维护活动的优先级，增强船舶推进系统的弹性
随着向工业 4.0 的快速过渡，许多行业已经认识到需要开发能够优化性能的智能维护系统和预测分析工具。
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