Journal ArticleDOI
Condition-based maintenance: tools and decision making
TLDR
In this paper, a wide variety of techniques commonly used to monitor the condition of mechanical systems are surveyed, and some of the decision models designed to address this type of inspection problem are discussed.Abstract:
The primary objective of equipment maintenance programmes is to preserve system functions in a cost‐effective manner. Surveys a wide variety of techniques commonly used to monitor the condition of mechanical systems. Reviews some of the decision models designed to address this type of inspection problem; concludes with some suggestions for future research directions in this type of decision problem.read more
Citations
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Journal ArticleDOI
Adding interpretability to predictive maintenance by machine learning on sensor data
TL;DR: A supervised machine learning approach is implemented, with the goal of both prediction and diagnosis of machinery breakdowns, emphasizing the latter, using an XGBoost model trained on a combination of sensor and report data, and enriches the model with Shapley values for diagnostic insights.
Journal ArticleDOI
Optimization of drill bit replacement time in open-cast coal mines
Omer Faruk Ugurlu,Mustafa Kumral +1 more
TL;DR: A life data analysis of drill bits is presented to fit a statistical distribution using failure records to estimate the drill bit replacement time using the evolutionary algorithm and shows that the proposed approach can be used to assist with designing a drilling bit replacement schedule and minimize costs in open-cast coal mines.
Condition-based maintenance for complex systems : coordinating maintenance and logistics planning for the process industries
TL;DR: In this article, the authors focus on obtaining insights into the optimal CBM policy structure for systems subject to various types of dependencies, thereby focusing on decisions such as when to inspect, when to maintain, adding a redundant component, and when to order spares.
Book ChapterDOI
Hard Facilities and Performance Management in Hospitals
Igal M. Shohet,Sarel Lavy +1 more
Book ChapterDOI
Improving Periodic Preventive Maintenance Strategies Using Condition Monitoring Data
TL;DR: Some issues and challenges of the integration of available condition monitoring data in the planning and optimization of predetermined preventive maintenance strategies are discussed.
References
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Book ChapterDOI
Regression Models and Life-Tables
TL;DR: The analysis of censored failure times is considered in this paper, where the hazard function is taken to be a function of the explanatory variables and unknown regression coefficients multiplied by an arbitrary and unknown function of time.
Book
An introduction to predictive maintenance
TL;DR: In this article, the authors discuss the impact of predictive maintenance on maintenance financial implications and cost justification role of maintenance organization benefits of Predictive Maintenance Machine-Train Monitoring Parameters Predictive maintenance Techniques Vibration Monitoring and Analysis Thermography Tribology Process Parameters Other Methods Visual Inspection Operating Dynamics Analysis Failure-Mode Analysis Establishing a Predictive Monitoring Program A Total Plant Predictive Management Program Maintaining the Program World-class Maintenance
Journal ArticleDOI
A survey of preventive maintenance models for stochastically deteriorating single-unit systems
TL;DR: This article includes optimization models for repair, replacement, and inspection of systems subject to stochastic deterioration and a classification scheme is used that categorizes recent research into inspection models, minimal repair models, shock models, or miscellaneous replacement models.
Book
Reliability-Centered Maintenance
TL;DR: Preventive Maintenance Definition and Structure as discussed by the authors : The Preventive Maintenance (PM) Process Opportunity and Challenge, and its Role in Total Quality Management (TQM) is discussed.
Journal Article
Reliability-centred maintenance
TL;DR: The RCM Decision Diagram Implementing RCM Recommendations Actuarial Analysis and Failure Data Applying the RCM Process What RCM Achieves A Brief History of RCM as discussed by the authors.