Framework Construction of Condition-Based Maintenance System

2010 ◽  
Vol 34-35 ◽  
pp. 1195-1199
Author(s):  
Y. Wang ◽  
J.Y. Qiao ◽  
Li Ma
Keyword(s):  
Condition Based Maintenance ◽  
Maintenance Policy ◽  
Work Process ◽  
Maintenance System ◽  
Maintenance Program ◽  
Large Numbers ◽  
Structural Frame ◽  
Optimal Maintenance ◽  
Optimal Maintenance Policy ◽  
Series Of Functions

The condition-based maintenance (CBM) is an advanced maintenance program that recommends optimal maintenance policy based on information collected through condition monitoring techniques. At present, CBM was paid attention to widely. The paper theoretically discussed the structure of a complete CBM system based upon the combing and analysis of the current large numbers of literatures of CBM. Firstly, CBM is introduced. Secondly, the three main stages of CBM work process is given. Finally, the basic structural frame of a complete CBM system is designed and constructed according to a series of functions CBM system should implement.

An Optimal Maintenance Policy for Compressor of a Gas Turbine Power Plant

2008 ◽  
Vol 130 (2) ◽  
Author(s):  
P. Naga Srinivasa Rao ◽  
V. N. Achutha Naikan
Keyword(s):  
Gas Turbine ◽  
Condition Based Maintenance ◽  
Maintenance Policy ◽  
Discrete State ◽  
Performance Loss ◽  
Optimal Maintenance ◽  
Comparison Of The Results ◽  
Gas Turbine Compressor ◽  
Gas Turbine Power Plant ◽  
Optimal Maintenance Policy

This paper proposes a condition based maintenance policy for compressors of industrial gas turbine. Compressor blade fouling contributes a major performance loss in the operation of gas turbine. Water washing is usually done for recovery of the blade fouling problem. There exist two different washing methods, namely, online and offline washings. Many researchers suggested that performing a combined program of regular online washing plus periodic offline washing would give fruitful results with respect to economy. However, such studies are of empirical nature or have considered only deterministic treatment. Considering the rate of fouling as discrete state random process, we propose a condition based maintenance policy with periodic online washing and inspection directed offline washing. According to this policy, the compressor undergoes regular online washes for every 1∕λm operating hours, and also undergoes inspections at constant rate λI. If the observed condition at an inspection is worse than threshold deterioration state, then perform offline washing. Otherwise, continue with online washing. The proposed algorithm gives optimum schedules for both online washing and inspections considering minimization of total cost per operating hour as objective. It also gives optimum threshold deterioration level for performing offline washing. A comparison of the results for a hypothetical gas turbine compressor is presented as illustration.

Finding optimal maintenance policy for pipeline corrosion using data fusion

2018 ◽  
Author(s):  
Roohollah Heidary ◽  
Katrina M.Groth ◽  
Mohammad Modarres ◽  
Nader Vahdati
Keyword(s):  
Data Fusion ◽  
Maintenance Policy ◽  
Optimal Maintenance ◽  
Using Data ◽  
Optimal Maintenance Policy ◽  
Pipeline Corrosion

Sequential imperfect preventive maintenance policy with random maintenance quality under reliability limit

2011 ◽  
Vol 225 (8) ◽  
pp. 1926-1935 ◽  
Author(s):  
Z Wang ◽  
J Yang ◽  
G Wang ◽  
G Zhang
Keyword(s):  
Failure Rate ◽  
Preventive Maintenance ◽  
Average Cost ◽  
Numerical Control ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Proposed Model ◽  
Optimal Maintenance ◽  
Average Cost Rate ◽  
Optimal Maintenance Policy

To determine the optimal maintenance number for a system with random maintenance quality in infinite time horizon, a sequential imperfect preventive maintenance model considering reliability limit is proposed. The proposed model is derived from the combination of the Kijima type virtual age model and the failure rate adjustment model. Maintenance intervals of the proposed model are obtained through an iteration method when both failure rate increase factor and maintenance restoration factor are random variables with a uniform distribution. The optimal maintenance policy is presented by minimizing the long-run average cost rate. A real numerical example for the failures of numerical control equipment is given to demonstrate the proposed model. Finally, a discussion is presented to show how the optimal average cost rate depends on the different cost parameters. The results show that in order to satisfy the practical requirements of high reliability, it is necessary and worthwhile to consider the system's reliability limit in preventive maintenance practice.

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