Research on Maintenance Strategy of Coal Mining Vehicle Based on RCM

2014 ◽  
Vol 543-547 ◽  
pp. 126-129
Author(s):  
Xian Min Ma ◽  
Xiao Rui Wu ◽  
Yong Qiang Zhang
Keyword(s):  
Reliability Analysis ◽  
Coal Mining ◽  
Equipment Maintenance ◽  
Maintenance Strategy ◽  
Maintenance Strategies ◽  
Equipment Reliability ◽  
Reliability Centered Maintenance ◽  
Service Period ◽  
Effective Analysis ◽  
Maintenance Mode

The reliability analysis of the coal mining vehicle is expounded by the application of Reliability Centered Maintenance (RCM). According to RCM, maintenance mode and service period of the equipment are determined after a logical judgment and effective analysis of equipment reliability and malfunction results. Corresponding maintenance strategies are established. It is estimated that the strategy may be further applied in equipment maintenance strategy.

scholarly journals Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plant

2020 ◽  
Vol 11 (7) ◽  
pp. 2592-2612
Author(s):  
Elias Tadeu da Silva ◽  
Jorge alberto Achcar ◽  
Claudio Luis Piratelli
Keyword(s):  
Probability Distributions ◽  
Production Plant ◽  
Competitive Advantages ◽  
Maintenance Strategy ◽  
Equipment Reliability ◽  
Reliability Centered Maintenance ◽  
Equipment Failures ◽  
The Times ◽  
Definition Of ◽  
Log Normal

Maintenance and management have substantial importance in the search of the company’s competitive advantages. In this direction, a reliability analysis of  equipments is very important for the definition of the most suitable maintenance strategy. The main goal of this paper is to assess the reliability-centered maintenance of the industrial reliability curve of a sugar cane department of an industry located in São Paulo State, Brazil. The proposed research method was based on the application of existing statistical modeling for the times between failures (TBF) of all reported equipment failures or the interruption times in the production line. These times were modeled by standard lifetime probability distributions as log-normal and Weibull distributions. The results showed that the company's strategy for preventive maintenance during the off-season is not adequate and the statistical analysis also identified important factors that affect the company's maintenance strategy. These results could be of great interest for the company and for engineering applications in general.

MEDICAL EQUIPMENT RELIABILITY: A REVIEW, ANALYSIS METHODS AND IMPROVEMENT STRATEGIES

2011 ◽  
Vol 18 (04) ◽  
pp. 391-403 ◽  
Author(s):  
B. S. DHILLON
Keyword(s):  
Reliability Analysis ◽  
Medical Devices ◽  
Medical Equipment ◽  
Human Error ◽  
Equipment Maintenance ◽  
Equipment Failure ◽  
Related Data ◽  
Equipment Reliability ◽  
Review Analysis ◽  
Improvement Strategies

This paper presents facts and figures, directly or indirectly, related to medical equipment reliability and reviews various important aspects, directly or indirectly, concerned with medical equipment reliability including classifications of medical devices/equipment, human error in medical equipment, useful guidelines for reliability and other professionals to improve medical equipment reliability, and medical equipment maintenance. A number of methods considered useful for performing medical equipment reliability analysis are also presented. Useful sources and organizations for obtaining medical equipment failure-related data are listed.

Research on Modeling Method for Equipment Maintenance Strategy Based on Reliability and Residual Life

2012 ◽  
Vol 215-216 ◽  
pp. 817-825 ◽  
Author(s):  
You Ling Chen ◽  
Ya Xuan Ma ◽  
Dou Zhang ◽  
Juan Tang
Keyword(s):  
Residual Life ◽  
Reliability Function ◽  
Bayes Rule ◽  
Equipment Maintenance ◽  
Maintenance Strategy ◽  
Decision Criteria ◽  
Equipment Reliability ◽  
Life Model ◽  
Maintenance Decision

This paper deals with the research on method for the optimum equipment preventive maintenance strategy based on equipment reliability and equipment residual life in indirect condition monitoring. We use the Markov chain to express the equipment deterioration condition and propose the equipment reliability function; besides, study on the equipment condition probability distribution and establish the equipment residual life model by using the Bayes rule and the hidden Markov model, based on the above research background, we obtain the optimum maintenance decision criteria by analyzing the equipment maintenance strategy based on equipment reliability and equipment residual life in indirect monitoring. Finally, a case study is given to illustrate the implementation of the optimum maintenance decision criteria in indirect monitoring.

Applications of Risk-Based Decision-Making Tools for Process Equipment Maintenance

2002 ◽  
Author(s):  
Randal L. Montgomery ◽  
William C. Satterfield
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
System Reliability ◽  
Process Equipment ◽  
Equipment Maintenance ◽  
Maintenance Strategy ◽  
Analysis Tools ◽  
Reliability Centered Maintenance

This paper explains a risk-based approach for analyzing process equipment that will help maintenance organizations improve system reliability and optimize maintenance resources. In addition, the approach provides a methodology for organizations to move from a prescriptive or compliance-based maintenance strategy to a risk-based maintenance strategy. The approach outlined is based on proven risk assessment and maintenance analysis tools, such as reliability-centered maintenance. The information in this paper will benefit maintenance professionals interested in optimizing maintenance resources.

On the Integration of Production and Maintenance Planning at the Tactical Level: Proposal of a Contribution Procedure

2014 ◽  
Vol 474 ◽  
pp. 35-41 ◽  
Author(s):  
Ronald Díaz Cazañas ◽  
Daynier Rolando Delgado Sobrino
Keyword(s):  
Production System ◽  
Maintenance Planning ◽  
Maintenance Strategy ◽  
Value Analysis ◽  
Maintenance Strategies ◽  
Reliability Centered Maintenance ◽  
Potential Capacity ◽  
Fixed Assets ◽  
System 2 ◽  
Made In

This paper deals with the problematic of the ProductionMaintenance integration and what it represents to the correct functioning of the companies. As a consequence of this, it is introduced a general contribution procedure for the integration of production and maintenance planning at the tactical level. With it, elements of the Value Analysis, the Reliability Centered Maintenance and the Fuzzy Control Theory are integrated in the context of an existing method for selecting maintenance strategies. The key outputs of the proposal consist on defining (1) the roles played by the fixed assets that do really add value to the production system, (2) the best maintenance strategy for each asset and, (3) the modifications that, if necessary, are to be made in the tactical plan of production due to potential capacity problems in the maintenance subsystem.

Optimization of equal-cycle maintenance strategy considering imperfect preventive maintenance

2021 ◽  
pp. 095440892110638
Author(s):  
Xinlong Li ◽  
Yan Ran ◽  
Genbao Zhang
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Action Unit ◽  
Cost Rate ◽  
Equipment Reliability ◽  
Optimal Maintenance ◽  
Important Means ◽  
Maintenance Decision

Preventive maintenance is an important means to extend equipment life and improve equipment reliability. Traditional preventive maintenance decision-making is often based on components or the entire system, the granularity is too large and the decision-making is not accurate enough. The meta-action unit is more refined than the component or system, so the maintenance decision-making based on the meta-action unit is more accurate. Therefore, this paper takes the meta-action unit as the research carrier, considers the imperfect preventive maintenance, based on the hybrid hazard rate model, established the imperfect preventive maintenance optimization model of the meta-action unit, and the optimization solution algorithm was given for the maintenance strategy. Finally, through numerical analysis, the validity of the model is verified, and the influence of different maintenance costs on the optimal maintenance strategy and optimal maintenance cost rate is analyzed.

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