Abstract
In order to assess and predict the reliability of critical components, using performance degradation data for modeling has become a significant approach. In addition, degradation data often provides more information about the components’ performance. The degradation can be detected directly or indirectly by records of surveillance, inspection and check. The degradation increases with time in an uncertain manner and needs to be modelled as a continuous time stochastic process. A wiener process model for modeling the calibration data has been developed. The unknown parameters of the model are obtained by the maximum likelihood estimation approach. The approach is illustrated by a real world example. This resulting model is applied to predict the reliability measure in given longer calibration intervals. The reliability index can be an input for maintenance effectiveness assessment and also be a performance indicator in a system or component monitoring program, etc.
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Liu, By., Qin, F., Liu, Sq., Cai, Sw. (2019). Reliability Modeling with Application for Calibration Data. In: Huang, G., Chien, CF., Dou, R. (eds) Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-3402-3_15
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DOI: https://doi.org/10.1007/978-981-13-3402-3_15
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