Journal ArticleDOI
Selection of time-to-failure model for computerized numerical control turning center based on the assessment of trends in maintenance data
Rajkumar Bhimgonda Patil,Basavraj S. Kothavale,Laxman Yadu Waghmode +2 more
- Vol. 233, Iss: 2, pp 105-117
TLDR
A generalized framework for selection of time-to-failure model based on the assessment of trends in failure and repair time data is provided and spindle system, computerized numerical control system, electrical and electronic system, hydraulic system and cooling system are found to be critical from reliability and maintainability point of view.Abstract:
This article provides a generalized framework for selection of time-to-failure model based on the assessment of trends in failure and repair time data. This framework is based on modifications of e...read more
Citations
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Journal ArticleDOI
A review of prognostics and health management of machine tools
TL;DR: A survey of the applications of prognostics and health management maintenance strategy to machine tools and their main subsystem, highlighting current open research areas for improvement.
Journal ArticleDOI
Integrated reliability and maintainability analysis of Computerized Numerical Control Turning Center considering the effects of human and organizational factors
TL;DR: The reliability and maintainability analysis reveals that the Weibull is the best-fit distribution for time-between-failure data, whereas log-normal is the fastest-fitting distribution for Time-To-Repair data.
Journal ArticleDOI
Life cycle cost analysis of a computerized numerical control machine tool: a case study from Indian manufacturing industry
TL;DR: A generalized framework for LCC analysis of repairable systems using reliability and maintainability principles is presented and it is revealed that the procurement decision of a product or system should be based on LCC and not only on the acquisition cost.
Journal ArticleDOI
Reliability, Maintainability, and Availability Analysis of a Computerized Numerical Control Machine Tool Using Markov Chains
TL;DR: A generalized framework for TimeBetween-Failure (TBF) and Time-To-Repair (TTR) data analysis, integrated with Markov chains for estimating the system’s Steady State Availability (SSA) is proposed.
Journal ArticleDOI
Real-time digital twin machine learning-based cost minimization model for renewable-based microgrids considering uncertainty
TL;DR: In this article , the authors examined a reinforcement learning (RL) method that uses 2-steps-ahead to schedule the batteries, which is essential for achieving the objective of the users and made multi-criteria decisions via an individual user to increase the battery's usage at peak times and increase the wind turbine's usage for local consumption.
References
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Journal ArticleDOI
Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
TL;DR: In this article, a general method for calculating the limiting distributions of these criteria is developed by reducing them to corresponding problems in stochastic processes, which in turn lead to more or less classical eigenvalue and boundary value problems for special classes of differential equations.
Journal ArticleDOI
Reliability engineering: Old problems and new challenges
TL;DR: The first recorded usage of the word reliability dates back to the 1800s, albeit referred to a person and not a technical system as discussed by the authors, and since then, the concept of reliability has become a pervasive attribute worth of both qualitative and quantitative connotations.
Book
Repairable Systems Reliability: Modeling, Inference, Misconceptions and Their Causes
Harold Ascher,Harry Feingold +1 more
Journal ArticleDOI
Multistate reliability models
TL;DR: In this paper, three types of coherence based on the strength of the relevancy axiom are studied, and the effect of component improvement on system performance is studied using a generalization of Birnbaum's reliability importance.