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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Dissertation
Nonlinear autoregressive with exogenous input neural network for structural damage detection under ambient vibration
TL;DR: In this paper, a nonlinear autoregressive with exogenous inputs (NARX) model is proposed to detect structural damage under ambient vibration in a structural data set, where each sensor cluster is represented by a time-series model, which is developed via artificial neural network (ANN) using undamaged acceleration data.
An Alternative Maintenance Technique to Improve the Maintenance Decisions of Production Machine System
TL;DR: The implementation model of decision support by adopting the OBM technique namely output-based decision support maintenance model (OBDSMM) is presented and the OBDSMM is validated via a real case study carried out at pulp manufacturing industry.
Book ChapterDOI
Evaluation Readiness of Contractor and Government in Implementing the Road Preservation Program: Case Study National Road in Indonesia
Book ChapterDOI
Process and Instrument for Visual Inspection of Mechanical Components for Imperfections Evaluation in Land Removal Equipment
TL;DR: In this paper, the reliability of a process and instrument for visual inspection of mechanical components for land removal equipment, which constitutes an adequate and efficient tool for inspectors, operators, and maintenance team in need to evaluate tolerable imperfections and defects.
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.