Test selection and optimization for PHM based on failure evolution mechanism model

• 作 者: Jing Qiu Xiaodong Tan Guanjun
• 机 构: LaboratoryofScienceandTechnologyonIntegratedLogisticsSupport
• 出 处: 系统工程与电子技术：英文版
• 发表日期: 2013年5期
• 关键词: 故障诊断 模型试验 演化机理 PHM 优化 模拟退火遗传算法 可测试性分析 测试选择 test selection and optimization （TSO）
• 基金项目: This work was supported by the National Natural Science Foundation of China （51175502）.

The test selection and optimization(TSO) can improve the abilities of fault diagnosis, prognosis and health-state evaluation for prognostics and health management(PHM) systems. Traditionally, TSO mainly focuses on fault detection and isolation, but they c