Residual Life Prediction Based on Wiener Process with Nonlinear Drift
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-2267-0_2
Reference12 articles.
1. Wang ZQ, Hu CH, Wang W et al (2014) An additive Wiener process-based prognostic model for hybrid deteriorating systems. IEEE Trans Reliab 63(1):208–222
2. Si XS, Wang W, Hu CH et al (2011) Remaining useful life estimation—a review on the statistical data driven approaches. Eur J Oper Res 213(1):1–14
3. Zhang ZX, Si XS, Hu CH (2015) An age-and state-dependent nonlinear prognostic model for degrading systems. IEEE Trans Reliab 64(4):1214–1228
4. Ye ZS, Wang Y, Tsui KL et al (2013) Degradation data analysis using Wiener processes with measurement errors. IEEE Trans Reliab 62(4):772–780
5. Gebraeel NZ, Lawley MA, Li R et al (2005) Residual-life distributions from component degradation signals: a Bayesian approach. IIE Trans 37(6):543–557
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