Optimizing the asset usage requires calculating the asset’s remaining-useful-life (RUL) based on the current and historic usage patterns and building a mathematical model that is capable of extrapolating failures from the past to the future.
Problem: Calculate the reliability of a system of components
Methodology: Cenacle offers Predictive Maintenance API that allows failure estimation based on the below methodology:
- Given system is decomposed into individual logical components
- Reliability is calculated for each component under the given conditions
- Reliability of the system is derived as an aggregated value of the individual results
Results: A truly one of a kind predictive maintenance API that computes reliability based on the design parameters and real-time operating conditions
Key concepts: Predictive Maintenance, M2M Telematics, Reliability Engineering, Failure Prediction, Condition-based Maintenance, API, RUL
Domain: Automotive, Engineering
