Abstract
PurposeThis paper is to present a new failure model that can be applied to single‐sample failure data of a single system under testing.Design/methodology/approachThe Bayesian method is used for the reliability evaluation. The weighted least squares method is used for determining the parameters of the reliability function.FindingsThe authors have observed the operation of a special computer numerical control (CNC) system for a period of over two years, and maintained a reliability database will all the collected failure data, from which the main source of failures can be identified.Research limitations/implicationsPreliminary research results are very encouraging. However, more work will be necessary to validate the new failure model.Practical implicationsThe determination of the parameters of the reliability function of a system under testing helps to identify its failure characteristics and potential quality problems.Originality/valueIt is hoped that the paper can help understand some of the challenges in modeling the failure behavior of special CNC systems.
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