Forecasting Method for Product Reliability Along with Performance Data
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The existing reliability theory is based on current knowledge of probability distributions and trends of product performances. This article proposes a forecasting method of the product reliability along with the performance data, without any prior information on probability distributions and trends. Fusing an evaluating indicator with five chaotic forecasting methods, five runtime data of the future performance are predicted by current performance data. Via the bootstrap, many generated runtime data along with the performance data are gained, and the predicted reliability function of the product runtime can therefore be established. The experimental investigation on the rolling bearing friction torque shows that the calculated values are in very good accordance with the measured values.
KeywordsReliability Product performance Runtime Time series Chaotic forecasting Information-poor system
This project was funded by the National Natural Science Foundation of China (Grant No. 51075123) and the Natural Science Research Project of the Education Department of Henan Province (Grant No. 2010B460008), and the Doctoral Scientific Research Initiation Fund of Henan University of Science and Technology (Grant No. 09001318).
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