A performance degradation trend prediction model used for power machinery maintenance optimization
Power machinery mainly has two types of failure mode.The first type leads equipment to stop working,and the second one causes performance degradation of equipment.The second type should not be ignored,because of its safe,economic and environmental consequence.Aiming at the second type of failure mode,current prognostic model for the useful remaining life of equipment is usually based on the historical data of the equipment fault or malfunction,which could provide evidence for maintenance.However,this model just depends on historical data,especially the time based fault data,without taking the operation state into consideration.In this paper,a performance degradation trend prediction model is developed,which is based on current prognostic model for the useful remaining life.It combines the reliability degradation curve and performance degradation curve.This model could 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.
power machinery prognostic model for the remaining useful life performance degradation trend prediction maintenance optimization compressor washing
Dengji Zhou Huisheng Zhang Shilie Weng
The Key Laboratory of Power Machinery and Engineering of Education Ministry,Shanghai Jiao Tong University,Shanghai,PR China
国际会议
桂林
英文
1-10
2013-07-16（万方平台首次上网日期，不代表论文的发表时间）