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Knowledge of the remaining useful life using prognostics can make a significant paradigm shift in ISHM.
The estimated state duration probability distributions can be used to predict the remaining useful life (RUL) of the assets.
The remaining useful energy is the energy used in the process: e.g. light, mechanical or thermal energy [13, 15].
Over recent years a significant amount of research has been undertaken to develop prognostic models that can be used to predict the remaining useful life of engineering assets.
Support vector machine (SVM) model is used to estimate the remaining useful life and the performance reliability based on the predefined threshold for failure, and the remanufacturing characteristics.
The combined approach provides a useful tool for reliability assessment and estimation of remaining useful life which can be used at the design stage or in-service.
But it also gives states flexibility to consider economic factors, energy impacts and the remaining useful life of the facility.
Remaining useful life.
Reutilization depends on reliable projections of the remaining useful life.
Both approaches result in very good estimations of the mean remaining useful life of unseen data.
Remaining useful life prediction has been one of the important research topics in reliability engineering.
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