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Intelligent Maintenance Systems Next 5 Years and Beyond: Transforming Condition-based Maintenance to Productivity and Service Innovation

机译:智能维护系统未来5年及以后:将基于条件的维护转换为生产力和服务创新

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The evolution of maintenance has gone through different stages of transformation for the past decades. The traditional approach to maintaining components, equipment, and processes, has been one that is purely reactive. Mitigating procedures are performed on the equipment once it breaks down. Many manufacturing companies have been adopting condition-based maintenance (CBM) or predictive maintenance techniques (PdM) as the best practices. To transform maintenance to become a truly proactive and value-added productivity improvement, major innovation is needed to elevate the value to a new level. This paper will present recent advances of intelligent maintenance systems as well as its systematic methodology and tools that have been effectively utilized to transform maintenance into innovative and productive service systems in a diverse set of industries. Two brief case studies are provided to illustrate the lessons learned with discussions for future service innovation impacts.
机译:过去几十年来,维护的演变已经经历了不同的转型阶段。传统的维护部件,设备和过程的方法是一种纯粹反应的方法。一旦崩溃,设备就会对设备进行减轻程序。许多制造公司一直采用基于条件的维护(CBM)或预测性维护技术(PDM)作为最佳实践。为了使维护变为真正积极的增值和增值的生产力改进,需要重大创新来提升到一个新的水平。本文将展示智能维护系统的最新进展以及其系统方法和工具,这些方法和工具已有效地利用,以在各种行业中将维护转换为创新和生产服务系统。提供了两项简要的案例研究,以说明在未来的服务创新影响的讨论中汲取的经验教训。

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