 Abstract: Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance is an approach that utilises the condition monitoring data to predict the future machine conditions and make decisions upon this prediction. The main aim of the presented research is to achieve an improvement...

Compared with time based maintenance (TBM), Condition based maintenance (CBM) can improved the availability of the devices and reduced the examining maintenance cost. However, CBM possibly arouse an unexpected interference on production process due to an unplanned maintenance activity in advance so that the stable-state operation of the system was influenced. As the system scale was larger, thi...

In condition based maintenance (CBM) optimization, the main optimization objectives include maximizing reliability and minimizing maintenance costs, which are often times conflicting to each other. In this work, we develop a physical programming based approach to deal with the multi-objective condition based maintenance optimization problem. Physical programming presents two major advantages: (...

The Navy’s Integrated Condition Assessment System (ICAS) is continuously evolving to meet the needs of today’s fleet as well as the requirements of future ship designs. This paper describes a technology known as the non-intrusive load monitor that could support the evolution of ICAS and other condition-based maintenance (CBM) systems. The non-intrusive load monitor (NILM) [8, 9, 10] can be used...