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对工业4.0未来的维护术语进行重新思考
Melinda Hodkiewicz1, Sarah Lukens2, Michael P Brundage3
1Faculty of Engineering and Mathematical Sciences, University of Western Australia, Perth, 6009, Australia.
概括
新的维护策略利用预后健康管理 (PHM) 和工业4.0的进步. 这项研究重新定义了维护术语,以更好地评估工作管理绩效并检测PHM驱动的活动.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 自20世纪90年代以来,传感器和数学模型已用于系统健康评估和异常检测.
- 物联网 (IoT) 和云计算正在实现具有成本效益的数据收集和民主化的预后健康管理 (PHM) 技术.
- 工业4.0的发展正在将维护计划和执行转变为预测方法.
研究的目的:
- 为了证明在工业4.0的背景下修订维护术语的必要性.
- 为一致评估工作管理绩效提出新的定义.
- 为改善与PHM活动相关工作的检测提供建议.
主要方法:
- 使用案例研究来说明当前维护术语的局限性.
- 在预测性和基于条件的维护的背景下分析维护工作管理指标.
主要成果:
- 当前的指标往往无法捕捉到由PHM驱动的主动维护的价值.
- 维护中的转变正在发生,工作是基于检测到的潜在故障而不是功能故障后启动的.
- 现有的纠正工作定义不充分涵盖PHM驱动的干预.
结论:
- 重新思考维护术语对于准确测量工业4.0环境中的性能至关重要.
- 需要一致的定义来评估PHM驱动维护的工作管理效率.
- 建议改进识别和跟踪与PHM相关的维护任务的方法.
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