Consecutive k-out-of-n lines with a change point

2016 ◽  
Vol 230 (6) ◽  
pp. 545-550 ◽  
Author(s):  
Serkan Eryilmaz
Keyword(s):  
Closed Form ◽  
Reliability Analysis ◽  
Change Point ◽  
Reliability Evaluation ◽  
Telecommunication Networks ◽  
Pipeline System ◽  
Time To Failure ◽  
Oil Pipeline ◽  
Vacuum Systems ◽  
Mean Time

Reliability analysis of consecutive k-out-of- n systems and their generalizations has attracted a great deal of attention in the literature. Such systems have been used to model telecommunication networks, oil pipeline systems, vacuum systems in accelerators, spacecraft relay stations, etc. In this paper, nonrecursive closed form equations are presented for the reliability functions and mean time to failure values of consecutive k-out-of- n systems consisting of two types of nonidentical components. The results are illustrated for reliability evaluation of oil pipeline system.

scholarly journals Reliability Analysis of Water Distribution Subsystem

2008 ◽  
Vol 7 (4) ◽  
pp. 307-326
Author(s):  
Zimoch Izabela
Keyword(s):  
Reliability Analysis ◽  
Recovery Time ◽  
Water Distribution ◽  
Probability Of Failure ◽  
Time To Failure ◽  
Mean Time To Failure ◽  
Research Results ◽  
Availability Factor ◽  
Mean Time

Reliability Analysis of Water Distribution Subsystem This paper presents results of detailed reliability analysis of water distribution subsystem operation of Krakow city. Basis of the research was wide base of information of occurred failures during exploitation (1996-2006). These analysis included evaluation of basic factors such as: failure and renovation intensities, mean recovery time and mean time to failure, availability factor and probability of failure-free operation at any time. Moreover, it was performed wide analysis of failure capability of pipes as a function of its diameter and material. The paper consists also of research results of occurred piping failures reasons and consequences.

scholarly journals Reliability Analysis of Boost Converters Connected to a Solar Panel Using a Markov Approach

2021 ◽  
pp. 29-42
Author(s):  
Rifqi Firmansyah Muktiadji ◽  
Ali Muhammad Rushdi
Keyword(s):  
Renewable Energy Sources ◽  
Reliability Evaluation ◽  
Solar Panel ◽  
Biomass Energy ◽  
Energy Sources ◽  
Time To Failure ◽  
Boost Converters ◽  
The Past ◽  
Mean Time ◽  
Markov Method

In the past few decades, the energy shortage and global warming problems became a serious concern for humanity. To solve these problems, many countries have evolved renewable energy sources (RESs) such as solar, wind, hydro, tidal, geothermal, and biomass energy sources. Solar energy is usually harvested via a solar panel that is connected to a boost converter to supply the loads. The converter has a key role in the system, since it controls the voltage at the DC bus. If any accidental fault occurs in the converter, the solar panel cannot supply electricity to the loads. Therefore, reliability evaluation of the converter is usually warranted. In this study, reliability evaluation of boost converters connected to a solar panel is carried out using the Markov technique. This technique is widely employed to evaluate the reliability and availability of a system with fixed failure and repair rates. Using the Markov method, we found that the reliability of the typical specific converter considered is 0.9986 for and that its life expectancy or Mean-Time-To-Failure (MTTF) is .

scholarly journals A new method for computing the reliability of consecutive k-out-of-n:F systems

Open Physics ◽  
2016 ◽  
Vol 14 (1) ◽  
pp. 166-170 ◽  
Author(s):  
Gökhan Gökdere ◽  
Mehmet Gürcan ◽  
Muhammet Burak Kılıç
Keyword(s):  
Integrated Circuits ◽  
Reliability Evaluation ◽  
New Method ◽  
System Failure ◽  
Ring Networks ◽  
Physical Systems ◽  
Oil Pipeline ◽  
R Project ◽  
Vacuum Systems ◽  
Relay Stations

AbstractIn many physical systems, reliability evaluation, such as ones encountered in telecommunications, the design of integrated circuits, microwave relay stations, oil pipeline systems, vacuum systems in accelerators, computer ring networks, and spacecraft relay stations, have had applied consecutivek-out-of-nsystem models. These systems are characterized as logical connections among the components of the systems placed in lines or circles. In literature, a great deal of attention has been paid to the study of the reliability evaluation of consecutivek-out-of-nsystems. In this paper, we propose a new method to compute the reliability of consecutivek-out-of-n:F systems, withnlinearly and circularly arranged components. The proposed method provides a simple way for determining the system failure probability. Also, we write R-Project codes based on our proposed method to compute the reliability of the linear and circular systems which have a great number of components.

A Multi-Module Systemic Approach for the Supply Reliability Analysis of Multi-Product Pipeline Under Pump Units Failure

2018 ◽  
Author(s):  
Xingyuan Zhou ◽  
Qi Liao ◽  
Mengyun Lv ◽  
Haoran Zhang ◽  
Yongtu Liang ◽  
...  
Keyword(s):  
Reliability Analysis ◽  
System Analysis ◽  
Reliability Evaluation ◽  
Systemic Approach ◽  
Pipeline System ◽  
Oil Supply ◽  
Scheduling Method ◽  
Evaluation Module ◽  
Product Pipeline ◽  
Supply Reliability

As the primary means of refined products transportation, multi-product pipeline plays a vital role in connecting refineries to local markets. Once disruptions occur, it will cause security issue on oil supply to downstream markets, even on the economy and stability of society. Based on the conventional reliability theory and detailed scheduling method of multi-product pipeline considering hydraulic constraints, this paper firstly proposes a multi-module systemic approach for the supply reliability analysis of multi-product pipeline under pump units failure conditions. Pump units are important corollary equipment in multi-product pipeline and their failure would affect the pipeline normal operation and downstream oil supply greatly. The approach includes three modules, namely, pump units analysis module, pipeline system analysis module and reliability evaluation module. In the pump units analysis module, Failure Mode and Effects Analysis (FMEA) method is adopted to analyse the correlations between pump units failure modes and causes. The Monte Carlo simulation method is employed to generate different failure scenarios based on the estimated failure rate of pump units. In the pipeline system analysis module, the detailed scheduling method of multi-product pipeline is adopted to calculate the maximum supply capacity for all delivery stations under a specific scenario. Due to the difficulty in solving detailed scheduling problem considering hydraulic constraints directly, two mixed integer linear programming (MILP) models are established. In the reliability evaluation module, the indexes of shortage, probability and adequacy are calculated to analyse the supply reliability quantitatively from global perspective and individual perspective. Finally, the proposed approach is applied to a real-world multi-product pipeline in Zhejiang, China. It is proved that this approach could provide significant guidelines for the supply reliability analysis of multi-product pipeline.

scholarly journals m-Consecutive-k-out-of-n: F Structures with a Single Change Point

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2203
Author(s):  
Ioannis S. Triantafyllou
Keyword(s):  
Explicit Expression ◽  
Present Article ◽  
Change Point ◽  
Reliability Function ◽  
Time To Failure ◽  
Mean Time To Failure ◽  
Independent Components ◽  
Mean Time ◽  
Shed Light ◽  
General Setup

In the present article, we introduce the m-consecutive-k-out-of-n:F structures with a single change point. The aforementioned system consists of n independent components, of which the first n1 units are identically distributed with common reliability p1, while the remaining ones share a different functioning probability p2. The general setup of the proposed reliability structures is presented in detail, while an explicit expression for determining the number of its path sets of a given size is derived. Additionally, closed formulae for the reliability function and mean time to failure of the aforementioned models are also provided. For illustration purposes, several numerical results and comparisons are presented in order to shed light on the performance of the proposed structure.

Traction Substation Electrical Main Connection Reliability Analysis

2012 ◽  
Vol 433-440 ◽  
pp. 7293-7299 ◽  
Author(s):  
Xue Cheng Ding ◽  
Zheng You He ◽  
Min Yu
Keyword(s):  
Comparative Analysis ◽  
Reliability Analysis ◽  
Transportation Safety ◽  
Time To Failure ◽  
Reliability Model ◽  
Railway Transportation ◽  
Reliability Models ◽  
Vital Importance ◽  
Traction Substation ◽  
Mean Time

Traction substation reliability is of vital importance for railway transportation safety. To illustrate traction substation reliability, irreparable and reparable reliability models of three types of traction substation Electrical main connection have been established. Based on analysis of simple series and parallel reliability system, system irreparable reliability model is analyzed. The ways of how to get mean time to failure (MTTF) and mean time to first failure (MTTFF) of reparable system are achieved. By comparative analysis of the value of MTTF and MTTFF among three kinds of traction substation main connection reparable and irreparable system, some useful conclusions are found.

scholarly journals Reliability Analysis for Rotary Feeder 561 BF 1 at PT Semen Bosowa Banyuwangi

2020 ◽  
Vol 3 ◽  
pp. 297-300
Author(s):  
Rifqi Fauzi ◽  
Cahyono Sigit Pramudyo
Keyword(s):  
Reliability Analysis ◽  
Time To Failure ◽  
Mean Time To Failure ◽  
Corrective Maintenance ◽  
Running Time ◽  
Manufacturing Company ◽  
Mean Time ◽  
Important Activity

Maintenance is an important activity in a manufacturing company. This paper focuses on reliability analysis for Rotary Feeder 561 BF 1 at PT Semen BosowaBanyuwangi. Mean Time to Failure and Reliablity were calculated. We concluded thatreliability at running time 240 hours or 10 days is 99.33%, while reliability damage at running hours 1920 hours or 80 days is 60.48% therefore before running hours 1920 equipment and materials need to be prepared for corrective maintenance.

Additional methods to improve the energy efficiency of oil pipeline transportation

2020 ◽  
Vol 10 (5) ◽  
pp. 558-565
Author(s):  
Marat R. Lukmanov ◽  
◽  
Sergey L. Semin ◽  
Pavel V. Fedorov ◽  
◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Saving ◽  
Pipeline System ◽  
Energy Costs ◽  
Improvement Program ◽  
Oil Pipeline ◽  
Energy Efficiency Improvement ◽  
Oil Transportation ◽  
Pumping Equipment ◽  
Preparatory Work

The challenges of increasing the energy efficiency of the economy as a whole and of certain production sectors in particular are a priority both in our country and abroad. As part of the energy policy of the Russian Federation to reduce the specific energy intensity of enterprises in the oil transportation system, Transneft PJSC developed and implements the energy saving and energy efficiency improvement Program. The application of energy-saving technologies allowed the company to significantly reduce operating costs and emissions of harmful substances. At the same time, further reduction of energy costs is complicated for objective reasons. The objective of this article is to present additional methods to improve the energy efficiency of oil transportation by the example of the organizational structure of Transneft. Possibilities to reduce energy costs in the organization of the operating services, planning and execution of work to eliminate defects and preparatory work for the scheduled shutdown of the pipeline, the use of pumping equipment, including pumps with variable speed drive, the use of various pipelines layouts, changing the volume of oil entering the pipeline system and increase its viscosity.

scholarly journals Surveillance System in Smart Cities: A Dependability Evaluation Based on Stochastic Models

Electronics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 876
Author(s):  
Igor Gonçalves ◽  
Laécio Rodrigues ◽  
Francisco Airton Silva ◽  
Tuan Anh Nguyen ◽  
Dugki Min ◽  
...  
Keyword(s):  
Surveillance System ◽  
Smart Cities ◽  
Heterogeneous Data ◽  
Time To Failure ◽  
Video Streams ◽  
Dependability Evaluation ◽  
The Mean ◽  
Mean Time ◽  
The Internet Of Things

Surveillance monitoring systems are highly necessary, aiming to prevent many social problems in smart cities. The internet of things (IoT) nowadays offers a variety of technologies to capture and process massive and heterogeneous data. Due to the fact that (i) advanced analyses of video streams are performed on powerful recording devices; while (ii) surveillance monitoring services require high availability levels in the way that the service must remain connected, for example, to a connection network that offers higher speed than conventional connections; and that (iii) the trust-worthy dependability of a surveillance system depends on various factors, it is not easy to identify which components/devices in a system architecture have the most impact on the dependability for a specific surveillance system in smart cities. In this paper, we developed stochastic Petri net models for a surveillance monitoring system with regard to varying several parameters to obtain the highest dependability. Two main metrics of interest in the dependability of a surveillance system including reliability and availability were analyzed in a comprehensive manner. The analysis results show that the variation in the number of long-term evolution (LTE)-based stations contributes to a number of nines (#9s) increase in availability. The obtained results show that the variation of the mean time to failure (MTTF) of surveillance cameras exposes a high impact on the reliability of the system. The findings of this work have the potential of assisting system architects in planning more optimized systems in this field based on the proposed models.

On classes of life distributions based on the mean time to failure function

2021 ◽  
Vol 58 (2) ◽  
pp. 289-313
Author(s):  
Ruhul Ali Khan ◽  
Dhrubasish Bhattacharyya ◽  
Murari Mitra
Keyword(s):  
Damage Model ◽  
Replacement Policy ◽  
Time To Failure ◽  
Mean Time To Failure ◽  
Moment Convergence ◽  
Life Distributions ◽  
Cumulative Damage Model ◽  
The Mean ◽  
Age Replacement ◽  
Mean Time

AbstractThe performance and effectiveness of an age replacement policy can be assessed by its mean time to failure (MTTF) function. We develop shock model theory in different scenarios for classes of life distributions based on the MTTF function where the probabilities $\bar{P}_k$ of surviving the first k shocks are assumed to have discrete DMTTF, IMTTF and IDMTTF properties. The cumulative damage model of A-Hameed and Proschan [1] is studied in this context and analogous results are established. Weak convergence and moment convergence issues within the IDMTTF class of life distributions are explored. The preservation of the IDMTTF property under some basic reliability operations is also investigated. Finally we show that the intersection of IDMRL and IDMTTF classes contains the BFR family and establish results outlining the positions of various non-monotonic ageing classes in the hierarchy.

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