Due to the long life-times of today’s products it can be difficult for an engineer to analyse the time-to-failure data obtained under normal operating conditions. However, Life Data Analysis (Weibull Analysis) enables you to predict the life of a product by fitting a statistical distribution to life data from a representative sample of units. This data set can then be used to estimate important life characteristics of the product such as reliability or probability of failure at a specific time, the mean life and the failure rate
In typical life data analysis, the practitioner analyzes life data from a sampling of units operated under normal conditions. This analysis allows the practitioner to quantify the life characteristics of the product and make general predictions about all of the products in the population. For a variety of reasons, engineers may wish to obtain reliability results for their products more quickly than they can with data obtained under normal operating conditions. As an alternative, these engineers may use quantitative accelerated life tests to capture life data under accelerated stress conditions that will cause the products to fail more quickly without introducing unrealistic failure mechanisms.
Our Reliability team supports clients through a number of Life Data Analysis and Accelerated Life Testing activities including Warranty Analysis, advice and recommendations on what data to be capturing to enable Life Data Analysis, Determining product reliability,
product mean life or failure rate to support System Reliability Modelling. Our engineers support the development of Product Test planning, the determination of the number of samples to be tested and the level to which stressor levels are to be applied.