摘要
目的以微波功率放大组件为研究对象,开展加速贮存试验退化数据的处理、建模、分析,给出组件的贮存期评估值和激活能等贮存特征参数。方法在已完成微波功率放大组件加速贮存试验的基础上,借鉴已有的数据建模及处理方法,开展加速贮存数据处理及寿命评估,应用多种退化轨迹拟合寻优、基于性能退化模型参数折算建模、多种寿命分布建模及拟合优度检验等技术,对贮存数据进行分析处理。结果给出了微波功率放大组件退化轨迹模型、寿命分布模型、加速因子、激活能等贮存特征参数和可靠寿命评估值。结论描述的加速贮存试验数据处理方法,适应性好,具有较高的优良性,可为类似具有退化数据的电子设备提供借鉴。
The work aims to process,model,and analyze degradation data from accelerated storage experiments with mi-crowave power amplification modules as the research object,and provide storage characteristic parameters such as storage life assessment values and activation energy of the modules.Based on the completed accelerated storage test of microwave power amplification modules,existing data modeling and processing methods were adopted to carry out accelerated storage data proc-essing and life assessment.Various degradation trajectory fitting optimization,performance degradation model parameter con-version modeling,multiple life distribution modeling,and goodness of fit testing techniques were applied to analyze and process the storage data.A degradation trajectory model,life distribution model,acceleration factor,activation energy and other storage characteristic parameters of microwave power amplification modules,as well as reliable life assessment values,were provided.The accelerated storage test data processing method proposed has good adaptability and high superiority,and can provide refer-ence for similar electronic devices with degradation data.
作者
吕瑛
王爱清
闫凯
高素丽
LYU Ying;WANG Ai-qing;YAN Kai;GAO Su-li(Beijing Remote Sensing Equipment Research Institute,Beijing 100854,China;Beijing Overall Design Department of Mechanical and Electrical Engineering,Beijing 100854,China)
出处
《装备环境工程》
CAS
2023年第10期108-117,共10页
Equipment Environmental Engineering
关键词
功率放大组件
加速贮存
数据处理
寿命
加速因子
激活能
退化轨迹
power amplification modules
accelerated storage
data processing
life
acceleration factor
activation energy
degradation trajectory
