The Smart Systems Group are pleased to announce a new publication titled “A Review of Sensing Technologies for Non-Destructive Evaluation of Structural Composite Materials“. Published in MDPI Journal of Composite Science, this article reviews the growing demand and diversity in the application of industrial composites, and the current inability of present non-destructive evaluation (NDE) methods […]
Tag: Prognostics and health management
New Publication: Prognostics for Electromagnetic Relays Using Deep Learning
DOI: 10.1109/ACCESS.2022.3140645 Electromagnetic Relays (Electromagnetic Relay (EMR)s) are omnipresent in electrical systems, ranging from mass-produced consumer products to highly specialised, safety-critical industrial systems. Our detailed literature review focused on EMR reliability highlighting the methods used to estimate the State of Health or the Remaining Useful Life emphasises the limited analysis and understanding of expressive EMR […]
AI-Driven Maintenance Support for Downhole Tools and Electronics Operated in Dynamic Drilling Environments – Available on IEEE Xplore Open Access
The Oil & Gas industry understands the potential of Artificial Intelligence (AI) and Big Data. However, contrary to AI consumer applications and many other industrial sectors, the dynamic and harsh environments of drilling and production operations as well as the global scale brings a very unique set of challenges for the deployment of industrialised, scalable […]