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由于现代装备长寿命、高可靠的特点,较短时间内很难获得足够的失效数据,使得基于失效数据的寿命评估方法难以应用。相对于失效数据来说,产品的性能退化数据包含了更多的信息,而且通过产品的性能退化数据进行可靠性和寿命评估可以更加节约试验时间和费用,因此基于性能退化数据的寿命分析是解决长寿命、高可靠产品寿命评估问题的有效途径之一。本文以某型伺服系统为对象,根据自然贮存和加速贮存试验数据建立关键性能参数的退化模型,利用退化模型求解失效概率分布函数或贮存可靠度函数,进而得到基于关键性能参数的贮存寿命评估结果,最终实现对伺服系统贮存寿命的综合评估。
Due to the long life and high reliability of modern equipment, it is difficult to obtain enough failure data in a short period of time, which makes it difficult to apply the life assessment method based on failure data. Performance degradation data for a product contains more information than failure data, and reliability and life-cycle assessment of the product’s performance degradation data can save more on test time and expense, so life-cycle analysis based on performance degradation data is a solution One of the effective ways to evaluate the longevity and high reliability of product life. In this paper, a certain type of servo system is taken as an object to establish a degradation model of key performance parameters based on natural storage and accelerated storage test data, and a failure probability distribution function or a storage reliability function is solved by using a degradation model to obtain a storage life assessment result based on key performance parameters , Finally achieve a comprehensive assessment of the service life of the servo system.