Reliability Modeling and Simulation of Mechanical Equipment Undergoing Maintenance

The mechanical equipment faults result from parts failure in the period of service time, due to reassembly and maintenance, the reliability model for mechanical equipment is broken, so it is necessary to research and estimate the safety reliability of mechanical system. Based on the time-to-failure density function of parts, the mechanical system reliability model is constructed to track the change course of age structure of part population for the mechanical systems that are reassembled and maintained. By means of simulation of the system reliability model, concerned parameters with mechanical systems service life are defined, it is discussed how the time-to-failure density function have influence on the service life for mechanical systems undergoing reassembly and maintenance. It is significant to estimate reliability and failure rate of systems and to establish reasonable maintenance policies.

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Analysis and Application of Mechanical System Reliability Model Based on Copula Function

Polish Maritime Research ◽

10.1515/pomr-2016-0064 ◽

2016 ◽

Vol 23 (s1) ◽

pp. 187-191 ◽

Cited By ~ 4

Author(s):

Hai An ◽

Hang Yin ◽

Fukai He

Keyword(s):

Mechanical System ◽

System Reliability ◽

Reliability Function ◽

Copula Function ◽

Reliability Model ◽

Reliability Modeling ◽

Modeling And Analysis ◽

Copula Theory ◽

Model Based ◽

Analysis Process

Abstract There is complicated correlations in mechanical system. By using the advantages of copula function to solve the related issues, this paper proposes the mechanical system reliability model based on copula function. And makes a detailed research for the serial and parallel mechanical system model and gets their reliability function respectively. Finally, the application research is carried out for serial mechanical system reliability model to prove its validity by example. Using Copula theory to make mechanical system reliability modeling and its expectation, studying the distribution of the random variables (marginal distribution) of the mechanical product’ life and associated structure of variables separately, can reduce the difficulty of multivariate probabilistic modeling and analysis to make the modeling and analysis process more clearly.

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Reliability modeling for competing failure systems with instant-shift hard failure threshold

Transactions of the Canadian Society for Mechanical Engineering ◽

10.1139/tcsme-2017-0130 ◽

2018 ◽

Vol 42 (4) ◽

pp. 457-467 ◽

Cited By ~ 2

Author(s):

Jingyi Liu ◽

Yugang Zhang ◽

Bifeng Song

Keyword(s):

Sensitivity Analysis ◽

System Reliability ◽

Reliability Model ◽

External Shocks ◽

Reliability Modeling ◽

Soft Failure ◽

Random Shock ◽

Hard Failure ◽

Engineering Practices ◽

Random Shocks

Many researchers have modeled systems under multiple dependent competing failure processes (MDCFP) in recent years. Typically, those failure processes consist of degradation (soft failure) and random shock (hard failure). In previous papers the threshold of hard failure has been a fixed value, which does not reflect engineering practices. Threshold refers to the ability to resist external random shocks, which shifts with time as the system is used. Thus, this paper establishes a model for MDCFP with instant-shift hard threshold. The hard failure threshold changes with time instantaneously, and it is also influenced by external shocks. This paper also presents a system reliability model. The effectiveness of the presented model is demonstrated by a reliability analysis of the micro-engine at Sandia National Laboratories. In addition, a sensitivity analysis is performed for specific parameters.

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Study on Reliability of Mechanical Systems Based on Petri Nets and Failure Dependence

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.538-541.2892 ◽

2012 ◽

Vol 538-541 ◽

pp. 2892-2896

Author(s):

Qi Guo Hu

Keyword(s):

Petri Nets ◽

Mechanical System ◽

Intermediate State ◽

Systems Analysis ◽

System Reliability ◽

Mechanical Systems ◽

Complex Relationship ◽

Intersection Operation ◽

Failure Dependence ◽

Stochastic Event

Mechanical systems is vulnerable to be influenced of its structure and human factors for its subsystems, components and the complex relationship between each unit, causing the mechanical systems to be failed, which severely affects the reliability of the mechanical systems. based on Petri nets models of mechanical systems analysis, from safety, intermediate and failure three aspects, 3-level working model of “safety-intermediate-failure” is introduced to reflect the reliability (functioning fully) of mechanical systems, intermediary transition between reliable and failure, failure (can not work). Through using the union and intersection operation of stochastic event, and considering the different values of the related failure parameters among basic events which impacts on the reliability of mechanical system, eventually the calculation of mechanical system reliability vector with the intermediate state is established.

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Reliability Assessment of Mechanical Systems

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering ◽

10.1243/pime_proc_1996_210_315_02 ◽

1996 ◽

Vol 210 (3) ◽

pp. 205-216 ◽

Cited By ~ 5

Author(s):

T R Moss ◽

J D Andrews

Keyword(s):

Mechanical System ◽

System Reliability ◽

Reliability Assessment ◽

Mechanical Systems ◽

Exact Science ◽

Considerable Uncertainty ◽

General Methodology ◽

Process Plant

The assessment of mechanical systems is not an exact science and predictions can be subject to considerable uncertainty. In this paper the particular problems of mechanical system reliability assessment are discussed and a general methodology presented based on experience from availability studies carried out on offshore and onshore process plant.

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Study of Reliability Modeling for Process System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.199-200.445 ◽

2011 ◽

Vol 199-200 ◽

pp. 445-448

Author(s):

Kun Lun Zhang ◽

Bo Guo ◽

Ping Jiang

Keyword(s):

System Reliability ◽

Error Propagation ◽

Quality Parameter ◽

Reliability Model ◽

Design Requirement ◽

Reliability Modeling ◽

Whole Process ◽

Process Reliability ◽

Process System ◽

Definition Of

The definition of process system reliability was provided. The study focused on the process reliability model with the quality parameter as index. Taking into account the effect of error propagation in working procedures on the whole process, it proposed the calculating methods of working procedures and process system reliability, which can effectively evaluate the ability of process subsystem in fulfilling design requirement.

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Reliability modeling and maintenance optimization for the two-unit system with preset self-repairing mechanism

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ◽

10.1177/1748006x19890739 ◽

2019 ◽

Vol 234 (2) ◽

pp. 221-234

Author(s):

Xian Zhao ◽

Xinqian Huang ◽

Jinglei Sun

Keyword(s):

Optimization Model ◽

Optimal Decision ◽

Maintenance Optimization ◽

Reliability Model ◽

Maintenance Policy ◽

Opportunistic Maintenance ◽

Reliability Modeling ◽

Long Run ◽

Proposed Model ◽

Maintenance Policies

In this article, the reliability model and the opportunistic maintenance optimization model are formulated for the preset self-repairing mechanism which is artificially designed and applied to many engineering systems. The preset self-repairing mechanism is first introduced into the reliability model, and a series system consisting of two units is built to describe the proposed model. One unit in the system is subject to external shocks and has the preset self-repairing mechanism, the other does not have the recovery mechanism and its lifetime distribution follows exponential distribution. For the system, the analytical expression of reliability is derived, and a maintenance optimization model taking the long-run average cost per unit time as objective function is established. The decision parameters of the maintenance policy are preventive and opportunistic degradation levels. Besides, a preventive maintenance policy is proposed for comparison with the opportunistic maintenance policy. Finally, the numerical examples are provided to obtain the optimal decision parameters and demonstrate the effectiveness of opportunistic maintenance policies.

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Cost Modeling and Simulation for Mining Mechanical Equipment Undergoing Maintenance

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.418-420.2122 ◽

2011 ◽

Vol 418-420 ◽

pp. 2122-2125

Author(s):

Wen Hui Yue ◽

Xiao Jun Wang ◽

Liang Pei Huang

Keyword(s):

Density Function ◽

Cost Model ◽

Influence Factors ◽

Cost Modeling ◽

Maintenance Cost ◽

Mechanical Equipment ◽

Time To Failure ◽

Maintenance Costs ◽

Maintenance Strategies ◽

Equipment Operation

Based on the time-to-failure density function of parts, the maintenance cost model of mining mechanical equipment is established and simulated. The influence factors of time-to-failure density function on the maintenance costs are analysed and the dynamic changing regularity is investigated, which is significant to establish reasonable maintenance strategies, improve the efficiency of equipment operation, reduce the costs and optimize the design of mechanical equipment parts.

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Reliability Modeling for Systems Subject to Interactional Competing Failure Processes

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.945-949.1063 ◽

2014 ◽

Vol 945-949 ◽

pp. 1063-1068 ◽

Cited By ~ 1

Author(s):

Wen Ping Huang ◽

Jing Lun Zhou ◽

Ju Hong Ning

Keyword(s):

Complex Systems ◽

System Reliability ◽

Failure Process ◽

Mutual Effect ◽

Parameters Estimation ◽

Reliability Model ◽

Reliability Modeling ◽

Degradation Processes ◽

Degradation Failure ◽

Failure Distribution

For complex systems or items that experience multiple dependent competing failure processes, the dependency among the failure processes presents challenging issues in reliability modeling. This article, discusses the dependence of the degradation failure processes and the traumatic failure process. On the condition of passion shock processes, a degradation failure reliability model is developed with the wiener degradation processes. By the influence of the degradation, a traumatic failure reliability model is developed under weibull failure distribution. Then, we get system reliability model deals with mutual effect of the two processes. In additional, the parameters estimation of the reliability model is solved. An applied example demonstrated the model correctness and availability.

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Nuclear Hybrid Energy System Reliability Model Progress Report

10.2172/1615830 ◽

2017 ◽

Author(s):

Askin Guler Yigitoglu ◽

Thomas Harrison ◽

Michael Scott Greenwood

Keyword(s):

System Reliability ◽

Energy System ◽

Progress Report ◽

Reliability Model ◽

Hybrid Energy System ◽

Hybrid Energy

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