Journal ArticleDOI
A Control-Limit Policy And Software For Condition-Based Maintenance Optimization
TLDR
The analysis of a preventive replacement policy of the control-limit type for a deteriorating system subject to inspections at discrete points of time is presented, using Cox’s PHM with a Weibull baseline hazard function and time dependent stochastic covariates.Abstract:
The focus of the paper is the optimization of condition-based maintenance decisions within the contexts of physical asset management. In particular, the analysis of a preventive replacement policy of the control-limit type for a deteriorating system subject to inspections at discrete points of time is presented. Cox’s PHM with a Weibull baseline hazard function and time dependent stochastic covariates is used to describe the failure rate of the system. The methods of estimating model parameters and the calculation of the optimal policy are given. The structure of the decision-making software EXAKT is presented. Experience with collecting, preprocessing and using real oil and vibration data is reported.read more
Citations
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Journal ArticleDOI
A review on machinery diagnostics and prognostics implementing condition-based maintenance
TL;DR: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making.
Journal ArticleDOI
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.
Journal ArticleDOI
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
TL;DR: A review on machinery prognostics following its whole program, i.e., from data acquisition to RUL prediction, which provides discussions on current situation, upcoming challenges as well as possible future trends for researchers in this field.
Journal ArticleDOI
Prognostic modelling options for remaining useful life estimation by industry
TL;DR: Business issues that need to be considered when selecting an appropriate modelling approach for trial are discussed and classification tables and process flow diagrams are presented to assist industry and research personnel select appropriate prognostic models for predicting the remaining useful life of engineering assets within their specific business environment.
Prognostic modelling options for remaining useful life estimation by industry
TL;DR: In this paper, the authors discuss business issues that need to be considered when selecting an appropriate modelling approach for trial, and present classification tables and process flow diagrams to assist industry and research personnel select appropriate prognostic models for predicting the remaining useful life of engineering assets within their specific business environment.
References
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Numerical recipes in C
TL;DR: The Diskette v 2.06, 3.5''[1.44M] for IBM PC, PS/2 and compatibles [DOS] Reference Record created on 2004-09-07, modified on 2016-08-08.
Journal ArticleDOI
The Statistical Analysis of Failure Time Data.
Book
Analysis of Survival Data
David Cox,D. Oakes +1 more
TL;DR: In this article, the authors give a concise account of the analysis of survival data, focusing on new theory on the relationship between survival factors and identified explanatory variables and conclude with bibliographic notes and further results that can be used for student exercises.
Journal ArticleDOI
The Statistical Analysis of Failure Time Data
TL;DR: This book complements the other references well, and merits a place on the bookshelf of anyone concerned with the analysis of lifetime data from any eld.
Journal ArticleDOI
Commentary on Andersen and Gill's "Cox's Regression Model for Counting Processes: A Large Sample Study"
Steven G. Self,Ross L. Prentice +1 more
TL;DR: In this article, Andersen and Gill (hereafter AG) present a stimulating development of asymptotic distribution theory for the Cox regression model with time-dependent covariates, which involves such conditions as $\sigma$-algebra right continuity and predictable, locally bounded, covariate processes.