A new single‐sample failure model and its application to a special CNC system

Abstract

Purpose

This 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/approach

The Bayesian method is used for the reliability evaluation. The weighted least squares method is used for determining the parameters of the reliability function.

Findings

The 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/implications

Preliminary research results are very encouraging. However, more work will be necessary to validate the new failure model.

Practical implications

The determination of the parameters of the reliability function of a system under testing helps to identify its failure characteristics and potential quality problems.

Originality/value

It is hoped that the paper can help understand some of the challenges in modeling the failure behavior of special CNC systems.

Citation

Zhou, G., Jia, Y., Zhang, H. and Wang, G. (2005), "A new single‐sample failure model and its application to a special CNC system", International Journal of Quality & Reliability Management, Vol. 22 No. 4, pp. 421-430. https://doi.org/10.1108/02656710510591246