scholarly journals Reliability modeling and preventive maintenance of load-sharing systemswith degrading components

2016 ◽  
Vol 48 (8) ◽  
pp. 699-709 ◽  
Author(s):  
Bin Liu ◽  
Min Xie ◽  
Way Kuo
Keyword(s):  
Preventive Maintenance ◽  
Load Sharing ◽  
Reliability Modeling

scholarly journals A New Analytic Method of Multistate Single-component System Reliability Model

2018 ◽  
Vol 175 ◽  
pp. 03058
Author(s):  
Xie Jingwei ◽  
Huang Peng ◽  
Liu Gang
Keyword(s):  
System Reliability ◽  
Preventive Maintenance ◽  
Single Component ◽  
Matrix Analysis ◽  
Phase Type Distribution ◽  
Numerical Application ◽  
Reliability Modeling ◽  
Component System ◽  
Mean Time Between Failures ◽  
Single Component System

For the reliability modeling of multistate single-component system, single maintenance bench provides the preventive maintenance and alternative maintenance services on the basis of system performance level following the stochastic detection strategy. Phase-type distribution is employed in place of exponential distribution and other typical distributions to describe the stochastic time variable in the reliability modeling process in a unified manner. Through matrix analysis, the analytic expressions for reliability indicators including system steady-state availability, mean time between failures (MTBF) and failure rate of system are obtained. A numerical application is presented to verify the applicability of the model and demonstrate the influence of preventive maintenance threshold and preventive maintenance rate on system reliability.

scholarly journals Reliability Modeling for Multistate System with Preventive Maintenance under Customer Demand

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jinlei Qin ◽  
Zheng Li
Keyword(s):  
Preventive Maintenance ◽  
Customer Demand ◽  
Reliability Modeling ◽  
Reliability Indices ◽  
Optimal Decisions ◽  
Multistate System ◽  
Proposed Model ◽  
Random Failure ◽  
Complete Failure ◽  
Markov Random Process

The performance level of a multistate system (MSS) can vary among different values rather than only two states (perfect functioning and complete failure). To improve the reliability of MSSs, a maintenance strategy has been adopted to satisfy customer demand, and reliability modeling of MSS with preventive maintenance and customer demand is proposed. According to the regular degradation and random failure at each state, based on the Markov random process, the proposed MSS with preventive maintenance can be modeled to satisfy the customer demand in a specific state. This model can also be adapted to compute other reliability indices. Based on this model, the effect of different preventive maintenance actions on the reliability indices can be analyzed and further compared. Two numerical examples have been illustrated to show the validity of the proposed model. The reliability model presented in this study can be used to assess the type of MSS and help reliability engineers to compare different maintenance actions quantitatively and make optimal decisions.

SEMI-MARKOV EMBEDDABLE RELIABILITY STRUCTURES AND APPLICATIONS TO LOAD-SHARING k-OUT-OF-n SYSTEMS

2013 ◽  
Vol 20 (02) ◽  
pp. 1350007 ◽  
Author(s):  
MARIO HELLMICH
Keyword(s):  
Markov Processes ◽  
Load Sharing ◽  
Sharing Rule ◽  
Reliability Modeling ◽  
Life Distributions ◽  
Semi Markov Processes ◽  
Repairable Components

This paper deals with the application of nonhomogeneous semi-Markov processes in reliability modeling. The notion of a semi-Markov embeddable reliability structure is introduced and discussed. As an example, load-sharing k-out-of-n : G systems of equal components with arbitrary life distributions under the equal load-sharing rule are treated in the context of semi-Markov embeddable systems. Besides some discussion about load-life models, the case of repairable components is to some extent treated as well.

Maintenance Plan for a Fleet of Rotary Drill Rigs/Harmonogram Utrzymania I Konserwacji Floty Obrotowych Urządzeń Wiertniczych

2014 ◽  
Vol 59 (2) ◽  
pp. 441-453 ◽  
Author(s):  
Mohammad Javad Rahimdel ◽  
Mohammad Ataei ◽  
Reza Khalokakaei ◽  
Seyed Hadi Hoseinie
Keyword(s):  
Reliability Analysis ◽  
Preventive Maintenance ◽  
Performance Data ◽  
Reliability Modeling ◽  
Failure Data ◽  
Sarcheshmeh Copper Mine ◽  
Maintenance Program ◽  
And Performance ◽  
Drilling Rigs ◽  
Maintenance Plan

Abstract In this paper a basic methodology was used for the reliability modeling and developing a maintenance program for a fleet of four drilling rigs. Failure and performance data was collected from Sarcheshmeh Copper Mine in Iran for a two-year period. Then the available data was classified and analyzed and reliability of all subsystems and whole rigs were modeled and studied. The failure data showed that, in all rigs, electrical, hydraulic and drilling systems are the most frequent failing subsystems of the machine. The reliability analysis showed that transmission system is the most reliable subsystem in all studied rigs. In order to calculate the reliability of whole fleet, it was assumed that operation of at least two drilling rigs is essential for satisfying the production goals. Therefore, probabilistic possibility of all fleet’s states were calculated. In this paper, 80% is selected as the desired level of reliability for developing of preventive maintenance program for each subsystem of the drilling rigs. Finally, the practical approaches were suggested for improving the maintenance operation and productivity of the studied fleet.

Reliability modeling for consecutive k ‐out‐of‐ n : F systems with local load‐sharing components subject to dependent degradation and shock processes

2020 ◽  
Vol 36 (5) ◽  
pp. 1553-1569
Author(s):  
Jianbin Guo ◽  
Yongguang Shen ◽  
Zhenping Lu ◽  
Haiyang Che ◽  
Zhuo Liu ◽  
...  
Keyword(s):  
Load Sharing ◽  
Local Load ◽  
Reliability Modeling
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