Reliability and Intelligent Systems Engineering
In the Reliability and Intelligent Systems Engineering (RISE) Laboratory, research efforts are being taken to create holistic tools that will enable accurate reliability estimation, proactive control of product reliability and operational adjustments to adaptively coordinate product reliability and service logistics, so that the overall uncertainty can be reduced more effectively and globally.
To estimate and improve product reliability, different types of reliability tests at material and component levels can be conducted. The application areas of our theoretical and experimental studies include microelectronics, machine tools, electromechanical components, and nanomaterials. The lab at the UofA’s Engineering Research Center houses a combined environmental testing facility that provides a product designer with a full spectrum of analysis on the potential failure modes as well as lifetime and/or degradation data.
The team has developed a collection of generic models and tools for analyzing accelerated life or degradation testing data involving complex covariates. Moreover, their previous research on reducing the energy consumption of such reliability tests will make the implementations of testing strategies and data analysis more attractive.
Indeed, by precisely knowing the reliability of a product under different and time-varying operating conditions, prognostics, condition-based maintenance and proactive service logistics can be carried out in a more effectively than ever before.
The other research focuses of this research lab are on data analytics in advanced manufacturing (e.g., additive manufacturing), energy systems, and healthcare.