Quality and Reliability Engineering // Mizzou Engineering

Quality and reliability engineering seeks to ensure acceptable outcomes and reduce process failure in manufacturing and other systems.

The complete randomization in product’s life tests is hardly achieved due to the limited availability of test equipment and test units, as well as budget and time constraints.
Typical experimental protocols used in accelerated life tests (subsampling and random blocks) should be taken into account in reliability data analysis.

A simulation study showed that ignoring the group-to-group variation can cause serious problems for the parameter estimation of the acceleration model, which in turn may lead to an even more erroneous conclusion for a product’s lifetime when it is extrapolated to the usual stress condition.
The proposed method was applied to the SSALT data of power cable insulation as a function of a time-varying stress of a voltage. The result shows substantial amount of group effects.

Multiple sensor data collected from a paper mfg. machine provides useful information on the system’s health condition.
Set a goal of detecting system failure beforehand to prevent unexpected breakdown of the system.
The dataset is highly imbalanced, multivariate, and high-resolution streaming data.