基于众包数据的逆加速寿命试验研究

Research on Inverse Accelerated-Life-Test Based on Crowdsourcing Data

摘要: 由于科学技术的高速发展，产品更新换代的速度越来越快，人们迫切需要在较短的时间内、甚至在产品的设计阶段就能获得产品的寿命信息。加速寿命试验就是利用加速应力开展样品试件的寿命试验，从而在可行的时间内获得产品的寿命信息。但加速寿命试验仍然无法在产品的设计阶段获取产品的寿命信息。为解决设计阶段的产品寿命信息获取问题，本文提出了基于大数据背景的逆加速寿命试验概念和方法。该方法主要基于众包模式获取的常规应力下的相关产品寿命数据，建立产品的逆加速寿命模型，从而达到预测产品寿命信息和降低寿命实验成本的目标。以隔热服为例，本文利用在电商平台采集的相关产品寿命数据和乘积限生存分析方法，建立阿伦尼斯寿命模型，并开展隔热服在加速应力下的寿命评估。

Abstract: With the rapid development of science and technology, the speed of product renewal is getting faster and faster and the people urgently need to obtain the life information of the product in the short time and even in the design phase of the product. The accelerated life test is to carry out the life test of the samples by using the accelerated stress to obtain the life information of the product in the feasible time. But it is difficult for the accelerated life test to obtain the product’s life information at the design stage of the product. In order to solve the acquisition problem of product life information in the design phase, this paper proposes the concept and method of the inverse acceleration life test according to the background of big data. This method, which can achieve the target of predicting product life information and reducing the cost of life test, is to establish the inverse accelerated life model of the product based on the relevant product life data under the normal stress of the mode, In this paper, the survival analysis method of the related product life data and product limit is used to establish the Arrhenius life model, and carry out the life evaluation of the heat insulation suit under accelerated stress.