Degradation modeling-based remaining useful life estimation¶
Zhang, Z., Si, X., Hu, C., & Kong, X. (2015). Degradation modeling-based remaining useful life estimation: A review on approaches for systems with heterogeneity. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 229(4), 343-355.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Gradual Deterioration
- Modern prognostics integrate these models with sensor data to predict remaining useful life (RUL): knowing the current state (crack size, capacitor capacitance, bearing wear), the degradation model, and the failure threshold, calculate how much time remains before failure
This sourceReviews the mathematical framework of degradation modeling and remaining-useful-life prognostics (stochastic-process and physics-based degradation models, failure-threshold crossing, unit-to-unit and operating-condition variability); supports the claim that degradation follows predictable laws enabling RUL prediction, and that under-margined designs fail prematurely.
- Modern prognostics integrate these models with sensor data to predict remaining useful life (RUL): knowing the current state (crack size, capacitor capacitance, bearing wear), the degradation model, and the failure threshold, calculate how much time remains before failure
Verification¶
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Registry ID ref:5318e51f052a · see in the full table