Precising the evaluation of radio information system reliability characteristics based on the empirical failure distribution

2020 ◽  
Vol 919 ◽  
pp. 052002
Author(s):  
I N Kartsan ◽  
A O Zhukov ◽  
A V Timoshenko ◽  
A Yu Perlov ◽  
D V Ryabchenko
Keyword(s):  
Information System ◽  
System Reliability ◽  
Reliability Characteristics ◽  
Failure Distribution

Fault Diagnosis and Reliability Growth for Information System

2014 ◽  
Vol 590 ◽  
pp. 763-767
Author(s):  
Zhi Hui Huang
Keyword(s):  
Information System ◽  
Bayesian Network ◽  
System Reliability ◽  
Functional Module ◽  
Decision Problems ◽  
Reliability Growth ◽  
Failure Data ◽  
Manufacturing Execution Systems ◽  
Growth Planning ◽  
Manufacturing Execution

This paper aiming at the zero-failure data and uncertain-decision problems exist in the information system reliability growth process, it proposes to build the Bayesian network topology of FMEA. It adopts Leaky Noisy-OR model, and it analyses the probability that the subsystem functional module will go wrong in quantity. It solves the problem of identifying the vague and incomplete information exists in the complex system rapidly and accurately, laying the foundation for further study of the reliability growth comprehensive ability assessment of system based on the Bayesian network. In this paper, on the background of Manufacturing Execution Systems (MES) engineering, aimed at research on models and evaluation methods of reliability growth for MES, enclosing reliability of MES task and design target, reliability growth test and analysis methods, it proposes the goal of MES reliability growth planning.

scholarly journals Model Satisfaction Users Measurement of Academic Information System Using End-User Computing Satisfaction (EUCS) Method

2020 ◽  
Vol 3 (2) ◽  
pp. 119-123
Author(s):  
Nur Aeni Hidayah ◽  
Elvi Fetrina ◽  
Alvali Zaqi Taufan
Keyword(s):  
Information System ◽  
User Satisfaction ◽  
System Reliability ◽  
Educational Institution ◽  
Sampling Technique ◽  
Ease Of Use ◽  
Practical Consideration ◽  
End User ◽  
Academic Information ◽  
End User Computing

As concrete steps in order to realize the vision and mission of an organization or educational institution is to implement the system of academic information. The one factor that influences the success of the academic information system is the satisfaction of users.  The problems in the user satisfaction are also issues that cannot be denied and continue to be studied. In consequently, having measurements related to user satisfaction is required. This research is done to see how the user satisfaction of the existing system has been implemented and to know what factorshas influenced the system. The method used in this study is a quantitative method using the End User Computing Satisfaction (EUCS) model whereas 255 respondents are chosen as the sample for the study. The purposive sampling technique is usedand the PLS-SEM approach with tools Smart PLS 3.0 is used for analyzing the data.  This research consists of 7 hypotheses and 8 variables, namely Content, Accuracy, Format, Timeliness, Ease of Use, System Reliability, System Speed and End-User Satisfaction. The research finds out that the current level of end-user satisfaction is in satisfied level. Inferentially, of the 7 hypotheses tested, 2 of them were rejected and the other 5; Accuracy, System Reliability, Timeliness, Content and System Spee;are accepted.Through this research, it is hoped that later it could be used as a practical consideration and theoretical study in thefuture.

Stochastic Design Exploration with Rework of Flexible Manufacturing System Under Copula-Coverage Approach

2018 ◽  
Vol 25 (02) ◽  
pp. 1850007 ◽  
Author(s):  
Mangey Ram ◽  
Nupur Goyal
Keyword(s):  
System Reliability ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Reliability Measures ◽  
High Productivity ◽  
Reliability Characteristics ◽  
Production Environments

Manufacturing systems are increasingly becoming automated and complex in nature. Highly reliable and flexible manufacturing systems (FMSs) are the necessity of manufacturing industries to fulfill the increasing customized demands. Worldwide, FMSs are used in industries to attain high productivity in production environments with rapidly and continuously changing manufactured goods structures and demands. Reliability prediction plays a very significant role in system design in the manufacturing industry, and two crucial issues in the prediction of system reliability are failures of equipment and system configuration. This novel work presents a stochastic model to analyze the performance of an FMS through its reliability characteristics, in the concern of its equipment. To improve the reliability of FMS, determine the sensitivity of the reliability measures of FMS. FMS consists of many components such as machine tools like CNC, automatic handling and material storage, controller and robot for serving load. The designed system is studied by using the Markov process, supplementary variable technique, Laplace transformation, coverage factor and Gumbel–Hougaard family copula to obtain various reliability measures. For some realistic approach, particular cases and graphical illustrations are also obtained.

Optimised information system reliability techniques for knowledge society acceptance

2009 ◽  
Vol 5 (3/4) ◽  
pp. 207 ◽  
Author(s):  
Nikolaos G. Bardis ◽  
Athanasios Drigas ◽  
Nikolaos Doukas ◽  
Nikolaos V. Karadimas
Keyword(s):  
Information System ◽  
System Reliability ◽  
Knowledge Society

Reliability analysis of a steam boiler system by expert judgment method and best-fit failure model method: a new approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Suyog Subhash Patil ◽  
Anand K. Bewoor
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Temperature Sensor ◽  
Expert Judgment ◽  
Failure Model ◽  
New Approach ◽  
Content Type ◽  
Model Method ◽  
Reliability Characteristics ◽  
Best Fit

PurposeIndia's textile industries play a vital role in the Indian economy. These industries consume the highest thermal energy (steam power). The demand of the steam in process industries is increasing rapidly, and this demand can be met by increasing the capacity utilization of steam boilers. The purpose of this paper is to present a new approach for reliability analysis by expert judgment method.Design/methodology/approachA lack of adequate life data is one of the biggest challenge in the reliability analysis of mechanical systems. This research provides an expert judgment approach for assessing the boiler's reliability characteristics. For this purpose, opinions of experts on time to failure and time to repair data were elicited in the form of statistical distributions. In this work, reliability analysis of the boiler system is carried out by expert judgment method and by using best-fit failure model. The system reliability along with preventive maintenance intervals of all components is also evaluated.FindingsIt is observed that the reliability analysis results obtained by expert judgment method and best-fit failure model method indicate that there are no significant differences. Therefore, in case when insufficient data are available, the expert judgment method can be effectively used. The analysis shows that the feedwater tank, feedwater pump, supply water temperature sensor, strainer, return water temperature sensor, condensate filter, mechanical dust collector, coal crusher and fusible plug are identified as critical components from a reliability perspective, and preventive maintenance strategy is suggested for these components.Originality/valueIn this research paper, a system reliability model by the expert judgment method is developed, and it can be effectively used where insufficient failure data are available. This paper is useful for the comparative evaluation of reliability characteristics of a boiler system by expert judgment method and best-fit failure model method.

scholarly journals Reliability and Availability Analysis of Arepairable System With Two Types of Failure

2015 ◽  
Vol 4 (1) ◽  
pp. 39
Author(s):  
M. A. El-Damcese ◽  
M. S. Shama
Keyword(s):  
System Reliability ◽  
Repairable System ◽  
Time To Failure ◽  
Repair Rate ◽  
System Parameters ◽  
Availability Analysis ◽  
Reliability Characteristics ◽  
The Mean ◽  
Mean Time ◽  
Reliability And Availability

This paper investigates reliability and availability of a repairable system with two types of failure. Let failure rate and repair rate of [type1, type2] components are assumed to be exponentially distributed. The expressions of availability and reliability characteristics such as the system reliability and the mean time to failure are derived. We used several cases to analyze graphically the effect of various system parameters on the reliability system and availability system.

Reliability of mission-based k-out-of-n systems with exponential phase durations and component lifetimes

2020 ◽  
pp. 1748006X2096930
Author(s):  
Bora Çekyay
Keyword(s):  
System Reliability ◽  
Transition Probabilities ◽  
General System ◽  
System Structure ◽  
Time To Failure ◽  
Long Run ◽  
Reliability Characteristics ◽  
Mission Change ◽  
Component Failure Rates ◽  
Mean Time

This paper focuses on the reliability analysis of [Formula: see text]-out-of-[Formula: see text] systems which are designed to perform a given mission consisting of several distinct phases. As the phases of the mission change, the reliability characteristics of the system and the system structure vary accordingly. The phase transition probabilities, phase durations, and component failure rates are dependent on the number of operating components. Moreover, the system is allowed to have cold, warm, or hot standby components. We propose computationally tractable methods to compute the system reliability, mean time to failure, and long-run availability for such a general system structure. We also provide a numerical analysis to show the applicability and the empirical computational complexity of the proposed methods.

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