Prediction of Cylinder Fatigue Lifetime with Kernel Density Estimation Theory

Jie Wang; Ping Yang; Qian Li; Jian Bao Wang; Song Yu

doi:10.4028/www.scientific.net/AMM.644-650.547

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Prediction of Cylinder Fatigue Lifetime with...

Prediction of Cylinder Fatigue Lifetime with Kernel Density Estimation Theory

Abstract:

As a part of power transfer process, cylinder plays an important role in pneumatic system. Its failure can cause mechanical equipment downtime suddenly and gas leak, so that production and personnel security will be in danger. Cylinder lifetime prediction has been an important topic. In this paper, an adaptive method based on Kernel Density Estimation is put forward for predicting the cylinder lifetime and getting the reliability function of cylinders. Kernel Density Estimation is a nonparametric estimation method of statistics. It can make full use of samples data without assuming distribution model. In the end, a comparison is made on the cylinder experiment between the proposed method and the common used parameter estimation method, Weibull distribution, and the results show that the proposed method has a more satisfactory performance.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

547-552

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.547

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Online since:

September 2014

Authors:

Jie Wang*, Ping Yang, Qian Li, Jian Bao Wang, Song Yu

Keywords:

Cylinder Lifetime, Kernel Density Estimation, Lifetime Prediction, Reliability

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