Reliability Assurance System Using Large Scale Multi-Media Databases and its Application

结果归纳为以下四类：1.防止可靠性和安全问题的信息共享系统为防止可靠性和安全问题，数据的收集和分析，通过数据库进行信息集成，并在实际现场应用，发挥了重要作用。从管理方面、人的方面和硬件方面进行了研究，提出了可靠性和安全性的信息共享系统。2.提出了双寿命试验寿命评估设计及其分布形式优化设计，达到了D-最优准则估计的最高精度。并对其序贯设计进行了研究。结果表明，大规模集成电路电迁移的分布形式服从对数正态分布，而不是威布尔分布。3.面向多媒体信息利用的状态监测维修利用传感器的状态监测维修在…中的作用在可靠性和安全保障方面发挥更重要的作用。但传感器有两种故障模式：误报警和误报警。为了减少这些故障，采用了n中k警报决策系统。4.基于大规模数据库的寿命数据分析目前，现场可靠性数据的数据库已经遍布世界各地，并且规模越来越大。这些数据主要来自每个部门在产品保修期内的维修记录。相反，销售金额信息来自销售部门的数据库。为了估计寿命参数，有必要将这两个不同的数据库结合起来。为了估计寿命参数，有必要将这两个不同的数据库结合起来。此外，有时每个月的销售额都会丢失，只知道产品的总销售额。本研究针对这些问题，提出了基于大型数据库的生命周期数据获取方法。较少

Results are summarized into the following four categories :1.System for Sharing Information to Prevent Reliability and Safety ProblemsTo prevent problems in reliability and safety, collection and analysis of data, integration of information through databases, and their application on the actual spot play important roles. Researches on management aspect, human aspect and hardware aspect are implemented and systems for sharing information for reliability and safety are proposed.2.Design of Lifetime Evaluation and Its Distributional FormAn optimal design for binary lifetime experiment is developed which attains the highest precision of the estimation from D-optimal criterion. Also its sequential design is investigated. It becomes clear that the distributional form of an electro-migration of LSI follows a log-normal distribution, not Weibull distribution.3.Condition Monitoring Maintenance Aiming Utilization of Multi-media InformationCondition monitoring maintenance using sensors plays impo … More rtant roles for reliability and safety assurance. But a sensor has two failure modes : false alarm and failure to alarm. To decrease these failures, a k-out-of-n alarm decision system prevails. This research investigates the optimality of equal thresholds of all sensors for alarming, validity of self-moving sensors, and the thresholds with gray zone areas.4.Lifetime Data Analysis Based on Large Scale DatabasesNowadays databases of field reliability data have been spreading all over the world and getting larger and larger. Mainly these data come from repair records during product warranty period in each division. To the contrary, sales amount information comes from the databases of sales department. It is necessary to combine these two different databases for estimating lifetime parameters. It is necessary to combine these two different databases fro estimating lifetime parameters. Also, sometimes, sales amount of each month is missing and just total sales amount of the products are known. This research tackles with those problems and develops the methods of lifetime data based on large scale databases. Less