A novel prognostic model of performance degradation trend for power machinery maintenance

Dengji Zhou, Huisheng Zhang and Shilie Weng

Energy, 2014, vol. 78, issue C, 740-746

Abstract: Power machinery has two types of fault modes. The first type leads equipment to stop working, and the second one results in performance degradation. The second type should not be ignored, because of its safe, economic and environmental consequence. Aiming at the second type of fault modes, current prognostic model for the remaining useful life of equipment is usually based on the historical data of the equipment fault or malfunction, which can provide evidence for maintenance. However, this model just depends on the time based fault data, without taking the operation state into consideration. In this paper, a novel prognostic model of performance degradation trend is developed, which is based on current prognostic models for the remaining useful life. It combines the historical fault data and monitoring data in operation. This model can be used for maintenance optimization. Maintenance activities, according to the result of this model, actually combine the viewpoint of Time Based Maintenance and Condition Based Maintenance. Finally, compressor washing of a gas turbine engine is cited as an instance to validate this model. Maintenance strategies based on the new model infers that it not only keeps the reliability of equipment, but also reduces the maintenance cost.

Keywords: Power machinery; Remaining useful life; Performance degradation trend prediction; Maintenance; Compressor washing (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:78:y:2014:i:c:p:740-746

DOI: 10.1016/j.energy.2014.10.067

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