Condition-based Monitoring and Prognosis in an Error-Bounded Framework

Condition-based maintenance is recognized as a better health management strategy than regularly planned inspections as used nowadays by most companies. In practice, it is however difficult to implement because it means being able to predict the time to go before a failure occurs. This prediction relies on knowing the current health status of the system’s components and on predicting how components age. This paper demonstrates the applicability of interval-based tools in integrated health management architectures, hence proposing an alternative to the standard statistical approach1.