Methods of Reliability Testing and Growth
This course revolves around exploiting (1) a detailed understanding of the physics of failure (PoF) to accelerate the reliability analysis of systems through the design of reliability tests, and (2) leveraging testing and design modification to facilitate ‘reliability growth.’ This involves modeling system reliability to predict reliability performance, and inform reliability analysis and testing activities such as accelerated life testing (ALT). These models involve probabilistic, deterministic and hybrid modelling approaches. Basic data analysis techniques will be covered, including ‘upwards’ (or predictive) and ‘downwards’ (or investigative) approaches. These techniques will be both parametric and non-parametric. The development of these models leads into accelerated life modelling (to enable ALT) of identified failure mechanisms in compressed timeframes. The course compressively covers various techniques for reliability growth assessment and projection.