Problem
Unexpected downtime of crucial components and machinery leads to huge costs and operational problems
Solution
innoSEP’s approach of data training is based on long-term historical data, transient sensor data and physical multi-domain modeling and detects required damage characteristics for accurate RUL-Estimations
Result
- Continuous „Remaining-Useful-Life“-Estimations of in-service components
- Knowledge-Discovery about damage characteristics and system behavior
- Guidance and recommendation for Maintenance to increase overall availibility