高过载条件下复杂机电设备贮存寿命评估研究

项目名称： 高过载条件下复杂机电设备贮存寿命评估研究

项目编号： No.61471385

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 穆希辉

作者单位： 中国人民解放军陆军工程大学

项目金额： 90万元

中文摘要： 针对弹载复杂机电设备长周期贮存、高过载发射、使用可靠性难以确定、缺乏寿命评估方法等问题，开展其储存寿命与环境应力复杂关联性、成败型不完全数据的统计学分析方法研究，建立其自然储存可靠性分布函数模型；开展高过载条件下其非线性控制信号产生机理研究，研制高可靠性、高存活性的微型多参数采集存储装置及探讨高过载条件下其动态性能测试方法；研究竞争失效条件下的小子样多性能参数加速退化试验方法、退化模型和加速模型统一形式，建立一种加速性能退化数据的相关系数平稳序列数学模型，探讨基于多维动态序列的系统级产品可靠性与寿命评估方法；开展变环境、异批次小子样可靠性评估技术研究，探讨基于可信度的多源信息融合储存可靠性评定数学模型方法。 本研究旨在解决长储复杂机电设备在高过载条件下的可靠性分析与寿命评估难题，拓宽储存寿命评估的研究范围，为复杂机电设备的科学定寿和维修延寿提供理论支持，具有重要的理论价值和应用价值。

中文关键词： 寿命预测；寿命分布；性能退化；系统可靠性；可靠性建模

英文摘要： Aiming at the problems of onboard complex mechanical and electrical equipment, such as long shelf life, high emission under overload,difficulty to assurance serviceability ,lack of life evaluation method, to carry out the storage life and the environment stress complex correlation and success or failure type of incomplete data statistical analysis method, natuaral storage reliability model of the distribution function is built. Studing the theory of producing nonlinear controlled signal,developing the miniature multiparameter collection and storage devicethat has high reliability and high viability and investigating the conditions under high overload dynamic performance test method.Discussing small samples accelerated degradation test method based on multiple performance parameters with competing causes of failure, the uniform for the degradation model and acceleration model, establishing a kind of mathematical model for the correlation coefficient stationary series of acceleration performance degradation data and studing the reliability and life assessment method research of system-level products based on the multi-dimensional dynamic sequence.Carrying out environmental change, different batches of small sample reliability assessment study technology. Discussing based on the credibility of multi-source information fusion storage reliability evaluation mathematical model method. This study aims to solve the long storage reliability analysis of complex electromechanical equipment and life assessment problem under high overload conditions. widen storage life assessment technology research scope, and provide theoretical support for scientific life and prolong maintenance life of the complex electromechanical equipment.The theoretical value and application prospect is significant.

英文关键词： life prediction;life distribution;performance degradation;system reliability;reliability model