A cost-based integrated importance measure of system components for preventive maintenance

2017 ◽  
Vol 168 ◽  
pp. 98-104 ◽  
Author(s):  
Hongyan Dui ◽  
Shubin Si ◽  
Richard C.M. Yam
Keyword(s):  
Preventive Maintenance ◽  
Importance Measure ◽  
System Components

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.

scholarly journals Identifikasi Kerusakan Tutup Radiator Terhadap Suhu Engine Toyota Kijang 5K

2020 ◽  
Vol 4 (1) ◽  
pp. 24-30
Author(s):  
Wilarso Wilarso Arso ◽  
Firman Gunawan
Keyword(s):  
Preventive Maintenance ◽  
Cooling System ◽  
Cooling Water ◽  
Vehicle Performance ◽  
System Components ◽  
System Temperature ◽  
Standard Pressure

Lack of radiator water in the 5K Kijang car cooling system, has an impact on decreasing vehicle performance. This leakage causes the cooling water in the radiator to decrease and can trigger a high cooling system temperature (overheating) on the engine. The discussion of the effect of damage to the radiator cap on the engine temperature of the Toyota Kijang 5K is able to help improve the understanding of vehicle users in general about the cooling system, can treat and repair if there is damage to the radiator cap. The radiator cap test was carried out by observation on a 5K Toyota deer by testing the radiator cap pressure using a radiator cup tester and visualizing the radiator cap components. After inspection there is damage to the radiator cap seal and the results of the radiator cap test 0.6 kgf / cm2 which causes the radiator cap pressure to be low, while the standard pressure is 0.9 kgf / cm2 - 1.03 kgf / cm2 and there is damage to the radiator cap seal so that it can cause engine overheating. Repair steps by replacing the new radiator cap components, efforts that need to be considered to prevent losses due to damage to the cooling system components, check the level of coolant, do a daily check properly and correctly, do preventive maintenance regularly.

scholarly journals Differential Importance Measure for Components Subjected to Aging Phenomena

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Stefano La Rovere ◽  
Paolo Vestrucci ◽  
Maria Sperandii ◽  
Claudia Mandurino
Keyword(s):  
Preventive Maintenance ◽  
Scientific Literature ◽  
Importance Measure ◽  
Independent Components ◽  
First Order ◽  
Failure Times ◽  
System Improvement ◽  
Input Variables ◽  
Aging Phenomena ◽  
Random Failures

The paper refers to the evaluation of the unavailability of systems made by repairable binary independent components subjected to aging phenomena. Exponential, exponential-linear, and Weibull distributions are assumed for the components failure times. We assume that components failure rate increases only slightly during the maintenance period, but we recognize the effectiveness of preventive maintenance only in presence of aging phenomena. Importance measures allow the ranking of the input variables. We propose analytical equations that allow the estimation of the first-order Differential Importance Measure (DIM) on the basis of the Birnbaum measures of components, under the hypothesis of uniform percentage changes of parameters. Without further information than that used for the estimation of “DIM for components,” “DIM for parameters” allows considering separately the importance of random failures, aging phenomena, and preventive and corrective maintenance. A two-step process is proposed for the system improvement, by increasing the components reliability and maintainability performance as much as possible (within the applicable technological limits) and then by optimizing preventive maintenance on them. Some examples taken from the scientific literature are solved in order to verify the correctness of the analytical equations and to show their use.

Components Importance Analysis Fault Tree of Power Transformer of Gi Simangkuk Switchyard in Indonesia

2013 ◽  
Vol 694-697 ◽  
pp. 907-910 ◽  
Author(s):  
Josep Franklin Sihite ◽  
Takehisa Kohda
Keyword(s):  
System Reliability ◽  
Power Transformer ◽  
Fault Tree ◽  
Importance Measure ◽  
Component Importance ◽  
Safety Improvement ◽  
System Components ◽  
Importance Analysis

The purpose of this paper is to study the importance measures of power transformer system components. Importance measures analysis is a key part of the system reliability quantification process which are most effective towards safety improvement. This paper presented an application and results of the importance measures analysis of a power transformer system of GI Simangkuk switchyard in Indonesia by using Birnbaum importace measures, critically importance measure, and Fussel-Vessely importance measures. These method present the rank of the component importance measures quantitavily according to their contribution to system reliability and safety.

Reliability analysis for electrical power systems based on importance measures

2019 ◽  
pp. 1748006X1989487
Author(s):  
Fangyu Liu ◽  
Hongyan Dui ◽  
Ziyue Li
Keyword(s):  
Power Systems ◽  
Power System ◽  
Reliability Analysis ◽  
Preventive Maintenance ◽  
System Performance ◽  
Electrical Power ◽  
Importance Measure ◽  
Reliability Engineering ◽  
Electrical Power System ◽  
Electrical Power Systems

With the introduction of reliability engineering, electrical power system reliability has become an important basis for decision-making in the power industry. Two operation cases of electrical power systems are considered in this article. When the system is in an ordinary way, the influence between two system components will affect the importance measure of one component. When some component is in maintenance, preventive maintenance for working components and corrective maintenance for failed components can be executed simultaneously to enhance electrical power system performance. In view of the above two cases, two importance measures are proposed to effectively guide the preventive maintenance, aiming to improve the system performance within a limited budget. Reliability analysis procedure and methods applied toward the two importance measures are then developed and illustrated with the analysis on a Dual Element Spot Network system with double power supplies and double loads. Finally, a strategy for preventive maintenance is proposed by ranking the importance of these components.

PERANCANGAN PENJADWALAN PERAWATAN MESIN BUBUT DENGAN METODE RELIABILITY CENTERED MAINTENANCE (RCM) DI BENGKEL PEMESINAN SMK NEGERI 1 KEDIRI

2019 ◽  
Vol 1 (1) ◽  
pp. 13
Author(s):  
Adi Sukopriyatno ◽  
Sri Rahayuningsih ◽  
Ana Komari
Keyword(s):  
Factor Analysis ◽  
Reliability Analysis ◽  
Preventive Maintenance ◽  
Failure Modes ◽  
Electrical System ◽  
Maintenance System ◽  
Reliability Centered Maintenance ◽  
Maintenance Time ◽  
System Components ◽  
Mean Time

So far, the engineering department has not implemented a good maintenance system. Therefore we need a maintenance schedule to meet the need for maintenance. The method for the analysis function is: reliability analysis and maintainability factor analysis. From the application of the reliability centered maintenance system approach, it is concluded that the critical components and the compilation of the failure modes and effect analysis tables. Whereas from the results of the reliability analysis in the form of the rate of damage, the average time between the damage and the maintainability factor analysis, it is concluded that the average corrective maintenance, the average prevention time, the average maintenance time, the average active maintenance time, the maintenance frequency and the time. the average down time of the lathe electrical system components. The results of the calculation of Mean Time Between Maintenance obtained maintenance intervals of lathe electrical system components every 223.1 hours, lathe erosion every 401.6 hours, fixed head of lathe every 502 hours, lathe head off every 669.3 hours and lathe chuck every 1004 hours. Need to get (preventive maintenance), namely daily maintenance, weekly maintenance and monthly maintenance. Pentingnya fungsi pemeliharaan dalam jurusan pemesinan merupakan hal yang tak terbantahkan. Dengan tidak disadari akan berdampak besar terhadap proses pembelajaran jika pemeliharaan tidak dilakukan seperti, operasi mesin yang tidak aman, kemacetan mesin, kerugian daya, berhentinya proses pembelajaran dan berbagai fungsi sarana lain yang tidak diketahui untuk masa yang lama. Jurusan pemesinan selama ini belum menerapkan suatu sistem pemeliharaan yang baik. Dimana saat ini masih menerapkan suatu pemeliharaan yang bersifat darurat atau perawatan yang dilakukan apabila ada kerusakan (corective maintenance). Oleh karena itu dibutuhkan suatu jadwal pemeliharaan dalam memenuhi kebutuhan akan suatu pemeliharaan. Metode yang digunakan dalam pembentukan jadwal tersebut adalah dengan menerapkan pendekatan sistim yaitu reliability centered maintenance. Dan juga menerapkan fungsi analisa yaitu : analisa reliability dan analisa maintainability faktor. Dari penerapan pendekatan sistem reliability centered maintenance disimpulkan komponen kritis dan penyusunan tabel failure modes and effect analisis. Sedangkan dari hasil analisis reliability disimpulkan berupa laju kerusakan, waktu rata – rata diantara kerusakan dan analisa maintainbility faktor disimpulkan berupa rata – rata pemeliharaan korektif, waktu rata – rata pencegahan, waktu rata – rata pemeliharaan, waktu rata – rata pemeliharaan aktif, frekuensi pemeliharaan dan waktu rata – rata down time dari komponen sistem kelistrikan mesin bubut. Dari hasil perhitungan Mean Time Between Maintenance (MTBM)  didapatkan interval pemeliharaan atau perawatan untuk komponen sistem kelistrikan mesin bubut setiap 223,1111 jam, eretan mesin bubut setiap 401,6 jam, kepala tetap mesin bubut setiap 502 jam, kepala lepas mesin bubut setiap 669,3333 jam dan chuck mesin bubut setiap 1004 jam.  Jika melihat dari interval perawatan dan pemeliharaan diatas maka mesin bubut  perlu mendapatkan perawatan berkala atau terencana (preventive maintenance), yaitu perawatan harian, perawatan mingguan dan perawatan bulanan.  

COMPARING BIRNBAUM IMPORTANCE MEASURE OF SYSTEM COMPONENTS

2004 ◽  
Vol 18 (2) ◽  
pp. 237-245 ◽  
Author(s):  
Fan C. Meng
Keyword(s):  
Sufficient Conditions ◽  
Necessary And Sufficient Conditions ◽  
System Structure ◽  
Importance Measure ◽  
Coherent System ◽  
System Components ◽  
Necessary And Sufficient

This article provides us with some simple criteria to compare Birnbaum reliability importance measure of components in a general binary coherent system. Such criteria are particularly useful in the absence of information concerning component reliabilities. We also find several simple (necessary and sufficient) conditions concerning system structure, under which such comparison is possible. Examples are given to illustrate our results.

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