Research on maintenance decision making based on vibration data
Based on vibration data monitoring, by factors including vibration intensity and fault probability, system health state can be characterized, factors weight coefficients can be calculated, and health state function can be established, which are formal representation of system health state.Health state is divided into five levels, each level obtains its membership function by analyzing the characteristic of each factor.Using system health state as input of maintenance decision-making, predictive maintenance decision can be established.Good maintenance decision can efficiently reduce the maintenance cost and improve system availability.In this thesis,research on function expression of system health state based on vibration data was conducted.Then, using opportunity-group maintenance function based on system health state, maintenance decision was made.
vibration data health state membership function maintenance decision making
Li Sha Xie Hongsheng Mei Han
China Ship Development and Design Center, Wuhan, China
国际会议
the International Conference Vibroengineering-2014
贵阳
英文
160-163
2014-11-07(万方平台首次上网日期,不代表论文的发表时间)