Resilience efficiency importance measure for the selection of a component maintenance strategy to improve system performance recovery

2022 ◽  
Vol 217 ◽  
pp. 108070
Author(s):  
Chao Zhang ◽  
Rentong Chen ◽  
Shaoping Wang ◽  
Hongyan Dui ◽  
Yadong Zhang
Keyword(s):  
System Performance ◽  
Importance Measure ◽  
Maintenance Strategy ◽  
Performance Recovery ◽  
Selection Of

scholarly journals Importance measure-based maintenance strategy considering maintenance costs

2021 ◽  
Vol 24 (1) ◽  
pp. 15-24
Author(s):  
Chao Zhang ◽  
Yadong Zhang ◽  
Hongyan Dui ◽  
Shaoping Wang ◽  
Mileta M. Tomovic
Keyword(s):  
Preventive Maintenance ◽  
System Performance ◽  
Maintenance Cost ◽  
Importance Measure ◽  
Repairable Systems ◽  
Consistent System ◽  
System Components ◽  
System Maintenance ◽  
The Difference ◽  
Selection Of

Maintenance is an important way to ensure the best performance of repairable systems. This paper considers how to reduce system maintenance cost while ensuring consistent system performance. Due to budget constraints, preventive maintenance (PM) can be done on only some of the system components. Also, different selections of components to be maintained can have markedly different effects on system performance. On the basis of the above issues, this paper proposes an importance-based maintenance priority (IBMP) model to guide the selection of PM components. Then the model is extended to find the degree of correlation between two components to be maintained and a joint importance-based maintenance priority (JIBMP) model to guide the selection of opportunistic maintenance (OM) components is proposed. Also, optimization strategies under various conditions are proposed. Finally, a case of 2H2E architecture is used to demonstrate the proposed method. The results show that generators in the 2E layout have the highest maintenance priority, which further explains the difference in the importance of each component in PM.

Integrated Importance Measure of Component States Based on Loss of System Performance

2012 ◽  
Vol 61 (1) ◽  
pp. 192-202 ◽  
Author(s):  
Shubin Si ◽  
Hongyan Dui ◽  
Xibin Zhao ◽  
Shenggui Zhang ◽  
Shudong Sun
Keyword(s):  
System Performance ◽  
Importance Measure

The selection of optimum maintenance strategy based on ANP integrated with GRA-TOPSIS

2015 ◽  
Vol 8 (2) ◽  
pp. 190 ◽  
Author(s):  
B. Kirubakaran ◽  
M. Ilangkumaran
Keyword(s):  
Maintenance Strategy ◽  
Selection Of

Controlling the Dynamic Characteristics of a Hydrostatic Bearing by Using a Pocket-Connected Accumulator

1983 ◽  
Vol 197 (4) ◽  
pp. 255-258 ◽  
Author(s):  
M J Goodwin ◽  
C J Hooke ◽  
J E T Penny
Keyword(s):  
Experimental Investigation ◽  
Dynamic Characteristics ◽  
System Performance ◽  
Journal Bearings ◽  
Careful Selection ◽  
Hydrostatic Bearing ◽  
Optimum System ◽  
Flexible Rotors ◽  
Rotor Support ◽  
Selection Of

This paper describes a theoretical and experimental investigation of the dynamic characteristics of a capillary-compensated oil-lubricated hydrostatic bearing which has an accumulator connected to the bearing pocket via a second capillary restrictor. Results show that by careful selection of accumulator and restrictor the bearing can be tuned to give an optimum system performance. Such a facility can be of considerable use if the hydrostatic bearing is being used to support other machinery, for example in the support of journal bearings used with flexible rotors. By tuning the hydrostatic bearing dynamic characteristics, optimum rotor support impedance might be achieved thereby giving the engineer some control over system resonances and stability.

scholarly journals Elastic Correlation Adjusted Regression (ECAR) scores for high dimensional variable importance measuring

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuan Zhou ◽  
Botao Fa ◽  
Ting Wei ◽  
Jianle Sun ◽  
Zhangsheng Yu ◽  
...  
Keyword(s):  
Molecular Data ◽  
Forced Expiratory Volume ◽  
Variable Importance ◽  
Importance Measure ◽  
Selection Of Variables ◽  
Relevant Variables ◽  
Complex Correlation ◽  
Dimensional Variable ◽  
High Degree ◽  
Selection Of

AbstractInvestigation of the genetic basis of traits or clinical outcomes heavily relies on identifying relevant variables in molecular data. However, characteristics such as high dimensionality and complex correlation structures of these data hinder the development of related methods, resulting in the inclusion of false positives and negatives. We developed a variable importance measure method, termed the ECAR scores, that evaluates the importance of variables in the dataset. Based on this score, ranking and selection of variables can be achieved simultaneously. Unlike most current approaches, the ECAR scores aim to rank the influential variables as high as possible while maintaining the grouping property, instead of selecting the ones that are merely predictive. The ECAR scores’ performance is tested and compared to other methods on simulated, semi-synthetic, and real datasets. Results showed that the ECAR scores improve the CAR scores in terms of accuracy of variable selection and high-rank variables’ predictive power. It also outperforms other classic methods such as lasso and stability selection when there is a high degree of correlation among influential variables. As an application, we used the ECAR scores to analyze genes associated with forced expiratory volume in the first second in patients with lung cancer and reported six associated genes.

Application of Hybrid VIKOR Model in Selection of Maintenance Strategy

2012 ◽  
Vol 5 (2) ◽  
pp. 59-81 ◽  
Author(s):  
M. Ilangkumaran ◽  
S. Kumanan
Keyword(s):  
Textile Industry ◽  
Maintenance Strategy ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Order Preference ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Insight Into ◽  
Selection Of

This paper focuses on the use of Fuzzy Analytic Hierarchy Process (FAHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) to select an optimum maintenance strategy for a textile industry. In the proposed methodology, first the weight of each criterion is calculated by using improved AHP with fuzzy set theory to overcome the problems of unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process and then the VIKOR method is applied to compensate the imprecise ranking of the AHP in the selection of maintenance strategy. The real case study is conducted for a textile industry to illustrate the utilization of the proposed model for the maintenance strategy selection problem. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to make sure that the result of the proposed model can be acceptable. A sensitivity analysis is also conducted to show the validity of the proposed model. The paper gives an insight into multi criteria decision-making (MCDM) techniques to select an optimum maintenance strategy for a process industry using a case study.

Sign in / Sign up

Export Citation Format

Share Document