WorkingCondition Importance Measures for MultiComponent Systems In industry, the working conditions of systems are complicated. It may contain some adversefavorable factors that can damageimprove componentsu0027 reliabilities compared to that in the designed working condition. The same productsystem may also work in different sites whose conditions exist significant differences to each other. Then the reliability of the system is not only determined by system structure, componentsu0027 designed reliabilities, etc. It can be also influenced by its working condition. In previous researches in importance measures, the environmental influence on system reliability has been paid little attention. In this paper, two workingcondition importance measures for multicomponent systems are introduced.

Prognostic Study of CNC Machine Component Using a Systematic Method The prognostic study of CNC machine component plays a key role in increasing the reliability and safety of manufacturing systems. A systematic prognostic method based on multisensor information for CNC machine component is proposed in this paper, where the data characteristics and system properties are all considered. The proposed method includes data preprocessing based on a noiseassisted multivariate empirical mode decomposition method, a twostage feature selection strategy and remaining useful life prediction based on the trajectory similarity method. An experimental case study is given to evaluate the proposed method. The results show that the systematic prognostic method could be applied in the industrial field.