Our AI solution called Reliability Digital Twin (RDT) addresses maintenance demand driven by failures.
The Explainable AI is centered around reliability model automatically built by Machine Learning algorithms from data. The Digital Twin model captures reliability distribution and performance trends predicted by reliability, usage, and part ages. The AI uses the model to detect bad parts, part groups with differing reliability, and reliability changes. The AI evaluates component of demand different from reliability such as line maintenance, depot maintenance, No Fault Founds, and recurring failures.