Remaining useful life prediction based on variation coefficient consistency test of a Wiener process
TLDR
In this article, an RUL prediction method based on the consistency test of a Wiener process is proposed, and the validity of the presented method is verified by accurate computation results of real data, which provides a theoretical and practical guidance for engineers to predict the RUL of equipment after maintenance.About:
This article is published in Chinese Journal of Aeronautics.The article was published on 2017-11-01 and is currently open access. It has received 12 citations till now. The article focuses on the topics: Consistency (statistics) & Sampling distribution.read more
Citations
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A Wiener degradation process with drift‐based approach of determining target reliability index of concrete structures
TL;DR: In this article , a novel approach is proposed to determine target reliability index based on modeling performance degradation of concrete structures as a stochastic process, where the drift coefficient and diffusion coefficient of Wiener process are estimated according to the experimental data of degradation of relative dynamic elastic modulus.
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Coupling plasma plume of a low-power magnetically shielded Hall thruster with a hollow cathode
TL;DR: In this paper, a laboratory 100 W class magnetically shielded Hall thruster was coupled with a hollow cathode, and plume characteristics in the coupling region in non-self-sufficient mode and self-sustained mode were compared.
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Remaining Useful Life Prediction With Fusing Failure Time Data and Field Degradation Data With Random Effects
TL;DR: A two-step RUL prediction method based on Wiener processes with reasonably fusing the failure time data and field degradation data with considering the random effects based on the proposed natures of parameters estimation is proposed.
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Review for State-of-the-Art Health Monitoring Technologies on Airframe Fuel Pumps
TL;DR: In this article , the authors present a review of health monitoring technologies suitable for aircraft fuel pumps and highlight the need for further research to allow this technology to be a part of routine aircraft maintenance.
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RUL prediction based on two‐phase wiener process
TL;DR: In this article , a two-phase linear Wiener degradation model was proposed along with an estimation method for the change point and model parameters, and a real-time RUL prediction model was developed.
References
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Remaining useful life estimation - A review on the statistical data driven approaches
TL;DR: This paper systematically reviews the recent modeling developments for estimating the RUL and focuses on statistical data driven approaches which rely only on available past observed data and statistical models.
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A survey of the application of gamma processes in maintenance
TL;DR: The application of gamma processes in maintenance is surveyed because gamma processes are well suited for modelling the temporal variability of deterioration, they have proven to be useful in determining optimal inspection and maintenance decisions.
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Using Degradation Measures to Estimate a Time-to-Failure Distribution
C. Joseph Lu,William O. Meeker +1 more
TL;DR: In this article, the authors developed statistical methods for using degradation measures to estimate a time-to-failure distribution for a broad class of degradation models, using a nonlinear mixed-effects model and developing methods based on Monte Carlo simulation to obtain point estimates and confidence intervals for reliability assessment.
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Residual-life distributions from component degradation signals: A Bayesian approach
TL;DR: Bayesian updating methods that use real-time condition monitoring information to update the stochastic parameters of exponential degradation models are developed and used to develop a closed-form residual-life distribution for the monitored device.
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Stochastic modelling and analysis of degradation for highly reliable products
Zhi-Sheng Ye,Min Xie +1 more
TL;DR: In this paper, degradation models are classified into three classes, that is, stochastic process models, general path models, and other models beyond these two classes.