Condition Based Maintenance Optimization for Multi-component Systems



Zhigang Tian Youmin Zhang Jialin Cheng


Most existing condition based maintenance (CBM) work reported in the literature only focuses on determining the optimal CBM policy for single units. Replacement and other maintenance decisions are made independently for each component, based on the component’s age, condition monitoring data and the CBM policy. In this paper, a CBM optimization method is proposed for multi-component systems, where economic dependency exists among the components subject to condition monitoring. In a multi-component system, due to the existence of economic dependency, it might be more cost-effective to replace multiple component at the same time rather than making maintenance decisions on components separately. Deterioration of a multi-component system is represented by a conditional failure probability value, which is calculated based on the predicted failure time distributions of components. The proposed CBM policy is defined by a two- level failure probability threshold. A method is developed to obtain the optimal threshold values in order to minimize the long-term maintenance cost. An example is used to demonstrate the proposed multi-component CBM method.

How to Cite

Tian, Z. ., Zhang, Y., & Cheng, J. (2011). Condition Based Maintenance Optimization for Multi-component Systems. Annual Conference of the PHM Society, 3(1).
Abstract 5 | PDF Downloads 4



condition based maintenance (CBM)

Banjevic D, Jardine AKS, Makis V., (2001) A control-limit policy and software for condition-based maintenance optimization. INFOR. 39: 32–50.

Jardine AKS, Lin DM, Banjevic D., (2006) A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing. 20 (7): 1483-1510.

Tian Z, Jin T, Wu B, Ding F., (2011a) Condition based maintenance optimization for wind power generation systems under continuous monitoring. Renewable Energy. 36: 1502-1509.
Tian Z, Liao H. (2011b) Multi-component condition based maintenance optimization considering component level condition monitoring. Reliability Engineering & System
Safety. 96(5): 581-589.

Tian Z, Wong L, Safaei N., (2010) A neural network approach for remaining useful life prediction utilizing both failure and suspension histories. Mechanical Systems and Signal Processing. 24(5): 1542-1555.

Stevens, B., (2006) EXAKT reduces failures at Canadian Kraft Mill,
Technical Papers