scholarly journals Optimal Weapons System Maintenance Using Prognostics and the Interface between an S1000D-based Interactive Electronic Technical Publication and Condition-based Maintenance

2019 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Mukyung Seo ◽  
Hakjae Lee
Keyword(s):  
Condition Based Maintenance ◽  
Technical Publication ◽  
System Maintenance

Maintenance Cost Optimal Model for Failure Dependence

2013 ◽  
Vol 401-403 ◽  
pp. 2345-2348
Author(s):  
Hai Fei Diao ◽  
Jing Cai ◽  
Yu Fu ◽  
Hai Bin Lin ◽  
Xiang Zhang
Keyword(s):  
Minimum Cost ◽  
Parallel System ◽  
Condition Based Maintenance ◽  
Maintenance Cost ◽  
Optimal Model ◽  
Cost Rate ◽  
System Maintenance ◽  
Failure Dependence ◽  
Dependent Failure ◽  
Detection Interval

With the development of Condition-Based Maintenance, there is an urgent need for failure dependence of redundant components in parallel system. In this paper, Markov maintenance cost decision analysis based on failure dependence of components was put forward, moreover, maintenance cost optimal model of parallel system with cost rate was established, meanwhile, the minimum cost rate as well as corresponding optimal detection interval was obtained. Finally, failure dependence and dependent failure rate to parallel system maintenance cost optimal model were studied and realized to prove this theory.

An Optimization Model for Condition-Based Maintenance Decision Considering Total Risk of Grid Operation

2014 ◽  
Vol 1055 ◽  
pp. 383-388
Author(s):  
Hui Ren ◽  
Ran Ran Cui ◽  
Yan Tang
Keyword(s):  
Optimization Model ◽  
Condition Based Maintenance ◽  
Equipment Maintenance ◽  
Total Risk ◽  
Maintenance Time ◽  
Optimal Maintenance ◽  
System Maintenance ◽  
Equipment State ◽  
Maintenance Schedules ◽  
Grid Operation

In the background of condition-based maintenance (CBM), the equipment maintenance levels in a certain state have different choices, which has different impacts on the improvement of the equipment state and maintenance costs, which in turn affects the time schedule of equipment maintenance. Therefore, in this paper the equipment maintenance time and maintenance level are viewed as decision variables to make maintenance schedules. This paper presents a risk-based optimization model for system maintenance scheduling problem, considering the state of equipment, correlations of the equipment and the operation of grid. An optimization model minimizing total risk of grid operation by balancing system maintenance risk and failure risk is established, so that both optimal maintenance level and optimal maintenance time could be determined simultaneously. An example is taken to verify the validity of the model.

scholarly journals The formation of the maintenance program and its impact on the increased level of power plants reliability

2020 ◽  
Vol 8 (4) ◽  
pp. 27-40
Author(s):  
Živoslav Adamović ◽  
Mladen Ivić ◽  
Veljko Vuković
Keyword(s):  
Preventive Maintenance ◽  
Power Plants ◽  
Technical System ◽  
Condition Based Maintenance ◽  
Maintenance Program ◽  
System Maintenance ◽  
Complex Technical System ◽  
Selection Of

The paper emphasizes the basic attitudes of complex technical system maintenance programming. Particularly it is performed an analysis and a selection of strategies for condition-based maintenance. The assessment of the established maintenance program varieties effectiveness was carried out by comparison with their basic indicators of effectiveness (for corrective and preventive maintenance).

Joint decision of condition-based maintenance and production scheduling for multi-component systems

2021 ◽  
pp. 095440542110437
Author(s):  
Wenyu Zhang ◽  
Jie Gan ◽  
Qingyu Hou
Keyword(s):  
Production Scheduling ◽  
Condition Based Maintenance ◽  
Joint Decision ◽  
Numerical Solution Method ◽  
Space Partition ◽  
System A ◽  
Component Systems ◽  
Joint Strategy ◽  
System Maintenance ◽  
Partition Method

In this study, system maintenance and production scheduling are jointly decided to solve the problems of resource idleness and time cost increase due to system maintenance in the processing of production scheduling. Based on the previous research on the integration of scheduling and maintenance of single machine and multi machine, considering the deterioration and economic dependence of each component in the system, a joint strategy of multi component condition-based maintenance combined with production scheduling is formulated. All the maintenance combinations and probability calculation formulas in the production scheduling process are developed using the deterioration state space partition method, and the probability density function and its numerical solution method are derived. A joint decision model is established to minimize the total weighted expected completion time. Finally, taking the KS5 adjustable multi axis tapping machine as an example, numerical experiments were conducted to verify the correctness of the proposed strategy and the established model.

Singapore in 1980: Institutionalizing System Maintenance

Asian Survey ◽  
1981 ◽  
Vol 21 (2) ◽  
pp. 253-260
Author(s):  
Chee-Meow Seah
Keyword(s):  
System Maintenance

Development and Oral Bioavailability of Self-Emulsifying Formulation of Ketoconazole

2013 ◽  
Vol 5 (4) ◽  
pp. 1858-1865
Author(s):  
Arundhati Bhattacharyya ◽  
M Bajpai
Keyword(s):  
Oral Bioavailability ◽  
Oral Delivery ◽  
Oral Absorption ◽  
Aqueous Suspension ◽  
Droplet Diameter ◽  
Tween 80 ◽  
Concurrent Administration ◽  
System Maintenance ◽  
Pure Drug ◽  
Ph Dependent

Ketoconazole is an imidazole antifungal drug belonging to the class II of Biopharmaceutic Classification System. Maintenance of gastric acidity is essential for adequate dissolution and absorption of ketoconazole. Concurrent administration of antacid and antiulcer preparations decreases the oral absorption of ketoconazole often causing therapeutic failure.  The aim of this study was to evaluate whether a self-emulsifying formulation of ketoconazole would be able to overcome the pH dependent dissolution and oral bioavailability. Self-emulsifying drug delivery system (SEDDS) was prepared after selecting the oil, surfactant and co-surfactant by solubility analysis. Optimum ratio of the components was finalized on the basis of drug content, self-emulsification and mean droplet diameter. The effect of pH on dissolution was studied in comparison to the pure drug. Oral bioavailability was determined in comparison to aqueous suspension in rats and the effect of co-administration of ranitidine hydrochloride solution and a commercially available liquid antacid preparation was studied. The optimized formulation containing 20% Capryol 90 and 40% each of Carbitol and Tween 80, exhibited 100% drug release regardless of the pH whereas the pure drug exhibited a highly pH dependent dissolution. The AUC0-24 resulted with oral administration of the SEDDS formulation was about 34%, 43% and 60% higher compared to the aqueous suspension when administered alone, administered with ranitidine and administered with antacid respectively. The results of the present study demonstrate that self-emulsifying formulations can be utilized for oral delivery of weakly basic drugs like ketoconazole which exhibit pH dependent dissolution.

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