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The residual life prediction of aero-engine is important for ensuring flight safety and reducing operating costs for airlines. Since there are varied performance parameters of aero-engine, it is difficult to use comprehensively these performance parameters to predict the residual life. This paper exploits Support Vector Regression Machine (SVR) in predicting the trend of varied performance parameters...
In this paper, a method for multi-sensor information fusion based on D-S evidence theory is discussed. An aero-engine gas path component is used as the research object. The information fusion researches are executed on fault information level and information decision level. The effectiveness of the proposed method for comprehensive fault diagnosis of complex system is illustrated by a case study.
Classical methods of maintainability verification usually requires a large number of samples. In reality, it is always difficult to obtain enough data to perform the maintainability verification for a variety of airplanes during the operational test and evaluation stage due to the high cost involved in the tests. Bayesian method has been recognized as an effective approach to deal with small sample...
In this paper, the failure number of hydroelectric power equipments in the whole life is predicted based on Crow-AMSAA Reliability Growth model. Considering influence of preventive maintenance to failure rate, service age reduction factor E is introduced to adjust service year of equipment and the maintenance cost model of hydroelectric equipments in the life cycle is derived. The optimal preventive...
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