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Journal ArticleDOI

Condition-based maintenance: tools and decision making

01 Sep 1995-Journal of Quality in Maintenance Engineering (MCB UP Ltd)-Vol. 1, Iss: 3, pp 3-17
TL;DR: 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.
Citations
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Journal ArticleDOI
TL;DR: It can be concluded that the application of the CBM technique is more realistic, and thus more worthwhile to apply, than the TBM one, however, further research on CBM must be carried out in order to make it more realistic for making maintenance decisions.

729 citations


Cites background from "Condition-based maintenance: tools ..."

  • ...This strategy leads to high levels of machine downtime (production loss) and maintenance (repair or replacement) costs due to sudden failure (Tsang, 1995)....

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Journal ArticleDOI
TL;DR: Using the fuzzy MCDM, it would be possible to select in advance, the most informative (efficient) maintenance approach, which leads to less planned replacements, and failures would be reduced to approximately zero and higher utilization of component life can be achieved.

479 citations

Journal ArticleDOI
TL;DR: In this article, four strategic dimensions of maintenance management are identified, namely service delivery options, organization and work structuring, maintenance methodology and support systems, and the guidelines for selection of these alternatives, key decision areas in each of the four dimensions, as well as the critical success factors for the transformation process are discussed.
Abstract: The contemporary business environment has raised the strategic importance of the maintenance function in organizations which have significant investment in physical assets. Four strategic dimensions of maintenance management are identified, namely service‐delivery options, organization and work structuring, maintenance methodology and support systems. The alternatives available are reviewed: the guidelines for selection of these alternatives, the key decision areas in each of the four dimensions, as well as the critical success factors for the transformation process are discussed. The two factors that permeate in these strategic dimensions are human factors and information flow; the latter can be made more efficient by embracing the e‐maintenance model.

442 citations

Journal ArticleDOI
TL;DR: In this paper, an intelligent predictive decision support system (IPDSS) for condition-based maintenance (CBM) supplements the conventional CBM approach by adding the capability of intelligent conditionbased fault diagnosis and the power of predicting the trend of equipment deterioration.
Abstract: The high costs in maintaining today’s complex and sophisticated equipment make it necessary to enhance modern maintenance management systems. Conventional condition-based maintenance (CBM) reduces the uncertainty of maintenance according to the needs indicated by the equipment condition. The intelligent predictive decision support system (IPDSS) for condition-based maintenance (CBM) supplements the conventional CBM approach by adding the capability of intelligent condition-based fault diagnosis and the power of predicting the trend of equipment deterioration. An IPDSS model, based on the recurrent neural network (RNN) approach, was developed and tested and run for the critical equipment of a power plant. The results showed that the IPDSS model provided reliable fault diagnosis and strong predictive power for the trend of equipment deterioration. These valuable results could be used as input to an integrated maintenance management system to pre-plan and pre-schedule maintenance work, to reduce inventory costs for spare parts, to cut down unplanned forced outage and to minimise the risk of catastrophic failure.

436 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a state-of-the-art review of vibration monitoring methods and signal processing techniques for structural health monitoring in manufacturing operations, which can be used as a tool to acquire, visualize and analyse the sampled data collected in any machining operation which can then be used for decision making about maintenance strategies.
Abstract: Machines without vibrations in the working environment are something non-existent. During machining operations, these vibrations are directly linked to problems in systems having rotating or reciprocating parts, such as bearings, engines, gear boxes, shafts, turbines and motors. Vibration analysis has proved to be a measure for any cause of inaccuracy in manufacturing processes and components or any maintenance decisions related to the machine. The non-contact measurement of vibration signal is very important for reliable structural health monitoring for quality assurance, optimizing profitability of products and services, to enhance manufacturing productivity and to reduce regular periodic inspections. This paper presents a state-of-the-art review of recent vibration monitoring methods and signal processing techniques for structural health monitoring in manufacturing operations. These methods and techniques are used as a tool to acquire, visualize and analyse the sampled data collected in any machining operation which can then be used for decision making about maintenance strategies.

271 citations

References
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Book ChapterDOI
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.
Abstract: The analysis of censored failure times is considered. It is assumed that on each individual arc available values of one or more explanatory variables. The hazard function (age-specific failure rate) is taken to be a function of the explanatory variables and unknown regression coefficients multiplied by an arbitrary and unknown function of time. A conditional likelihood is obtained, leading to inferences about the unknown regression coefficients. Some generalizations are outlined.

28,264 citations


"Condition-based maintenance: tools ..." refers methods in this paper

  • ...Proportional hazards modelling (PHM), a multivariate regression analysis procedure first introduced in[ 19...

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Book
01 Dec 1989
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
Abstract: Impact of 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 Maintenance Program A Total Plant Predictive Maintenance Program Maintaining the Program World-class Maintenance

899 citations


Additional excerpts

  • ...CBM tasks are performed to serve the following purposes[ 7...

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Journal ArticleDOI
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.
Abstract: A survey of the research done on preventive maintenance is presented. The scope of the present survey is on the research published after the 1976 paper by Pierskalla and Voelker [98]. This article includes optimization models for repair, replacement, and inspection of systems subject to stochastic deterioration. A classification scheme is used that categorizes recent research into inspection models, minimal repair models, shock models, or miscellaneous replacement models.

768 citations

Book
01 Sep 1992
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.
Abstract: The Preventive Maintenance (PM) Process Opportunity and Challenge.Preventive Maintenance Definition and Structure.The ``R'' in RCM--Pertinent Reliability Theory and Application.RCM--A Proven Approach.RCM Methodology--The Systems Analysis Process.Illustrating RCM--A Simple Example (Swimming Pool Maintenance).Illustrating RCM--Examples Drawn From Industry.Implementation--Carrying RCM to the Floor.Appendices: A: The Preventive Maintenance Role in Total Quality Management.B: The Mathematics of Basic Reliability Theory.

481 citations

Journal Article
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.

430 citations