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Top down model of condition based maintenance for complex asset

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Following by the technology innovation, lots of industrial assets tend to multi-functional and highly integrated. This is scale up the complexity of the asset. To keep the asset at high availability, maintenance action is critical. Condition based maintenance is a maintenance action based on health of asset which is provided from condition monitoring. It can reduce unnecessary inspection and system shutdown. There is a great interest in condition based maintenance from both theoretical and industrial fields in the past 50 years. However, condition based maintenance for complex system is still problematic, especially, when the system has severe fault propagation among their subsystems. In this paper, a layered top down model is proposed to represent the asset as a group of interdependent components. The top layer uses continue time Markov chain to calculate the optimal inspection interval and maintenance threshold with considering accelerated deterioration caused by fault propagation. The down layer of the model analyzes the fault propagation in components and in turn calculates deterioration rate of the accelerated deterioration. This model provides a good accuracy on modeling a complex asset. In addition, it overcomes the problem of exponentially increased complexity with the number of components in the asset. The working case of the project is mainly on power transformer.

This talk is part of the DIAL seminars series.

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