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首页> 外文会议>IMAPS 40th international symposium on microelectronics >Using Prognostics for Extending Maintenance-Free Operation Interval – A case study using Inductive Sensor for Condition Based Maintenance of a Wave Solder Machine
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Using Prognostics for Extending Maintenance-Free Operation Interval – A case study using Inductive Sensor for Condition Based Maintenance of a Wave Solder Machine

机译：使用预测方法扩展免维护操作间隔–使用感应传感器进行波峰焊机状态维护的案例研究

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摘要

A market leader industry requires near zero downtime performance for its manufacturing equipment. Most machine maintenance is reactive, where the equipment is either fixed or replaced after it fails,or blindly proactive where a certain level of performance degradation is assumed, though there is no kind of malfunctioning input from the machine. For the latter case, maintenance is scheduled on a fixed time interval even if the servicing of the equipment is actually required or not. Different types of maintenance have been defined, which are classified into preventive and reactive types. The preventive type can be further classified into condition based and fixed time interval. A condition based maintenance approach has been developed for a Wave Solder machine based on the fundamental concepts of Prognostics Health Management (PHM). This novel technique moves away from the traditional fixed time interval maintenance methodology to a dynamic technique in which the time to maintenance is optimized to a Just-in-Time point. The usage of such approach gives a dual advantage of not only extending the maintenance-free operation period with the help of a data-driven model (tPHM1), but also applying a dynamic condition-based maintenance enhancement over the model driven maintenance time (tPHM2) to extend the maintenance-free operation interval.
机译：市场领导者行业要求其制造设备的停机时间几乎为零。大多数机器维护都是被动的，在设备出现故障后可以对其进行固定或更换，或者在假定某种程度的性能下降的情况下盲目主动地进行维护，尽管机器没有任何故障输入。对于后一种情况，即使实际上是否需要维修设备，也要按固定的时间间隔安排维护。已经定义了不同类型的维护，分为预防型和反应型。预防类型可以进一步分为基于条件的情况和固定时间间隔。基于预后健康管理（PHM）的基本概念，已经为波峰焊机开发了基于状态的维护方法。这项新颖的技术从传统的固定时间间隔维护方法转变为动态技术，在该技术中，将维护时间优化为即时点。这种方法的使用具有双重优势：不仅可以借助数据驱动模型（tPHM1）延长免维护运行时间，而且可以在模型驱动的维护时间（tPHM2）上应用基于动态状况的维护增强功能），以延长免维护的运行间隔。

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