Reliability Assessment of Multi-State Systems By Multi-Source of Imprecise Reliability Data

2019 ◽  
Author(s):  
Tangfan Xiahou ◽  
Yu Liu
Keyword(s):  
Reliability Assessment ◽  
Reliability Data

Human Reliability in Industrial Systems: An Overview

1976 ◽  
Vol 20 (1) ◽  
pp. 12-16 ◽  
Author(s):  
David Embrey
Keyword(s):  
System Reliability ◽  
Human Error ◽  
Quantitative Assessment ◽  
Reliability Assessment ◽  
Human Reliability ◽  
Reliability Data ◽  
Industrial Systems ◽  
Areas Of Interest

This paper describes some of the major areas of interest in the field of human reliability. The nature of system reliability assessment is described, and the importance of considering human reliability emphasized. Human error is then discussed from several standpoints, and techniques for its quantitative assessment described. The review concludes with a description of the various sources of human reliability data and the research that is currently in progress.

scholarly journals Reliability Assessment of Wind-Solar PV Integrated Distribution System Using Electrical Loss Minimization Technique

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5631
Author(s):  
Sachin Kumar ◽  
Kumari Sarita ◽  
Akanksha Singh S Vardhan ◽  
Rajvikram Madurai Elavarasan ◽  
R. K. Saket ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Distribution System ◽  
Reactive Power ◽  
Storage System ◽  
Reliability Assessment ◽  
Energy Storage System ◽  
Solar Pv ◽  
Loss Minimization ◽  
Reliability Data ◽  
Electrical Loss

This article presents the Reliability Assessment (RA) of renewable energy interfaced Electrical Distribution System (EDS) considering the electrical loss minimization (ELM). ELM aims at minimizing the detrimental effect of real power and reactive power losses in the EDS. Some techniques, including integration of Renewable Energy Source (RES), network reconfiguration, and expansion planning, have been suggested in the literature for achieving ELM. The optimal RES integration (also referred to as Distributed Generation (DG)) is one of the globally accepted techniques to achieve minimization of electrical losses. Therefore, first, the locations to accommodate these DGs are obtained by implementing two indexes, namely Index-1 for single DG and Index-2 for multiple DGs. Second, a Constriction Factor-based Particle Swarm Optimization (CF-PSO) technique is applied to obtain an optimal sizing(s) of the DGs for achieving the ELM. Third, the RA of the EDS is performed using the optimal location(s) and sizing(s) of the RESs (i.e., Solar photovoltaic (SPV) and Wind Turbine Generator (WTG)). Moreover, a Battery Storage System (BSS) is also incorporated optimally with the RESs to further achieve the ELM and to improve the system’s reliability. The result analysis is performed by considering the power output rating of WTG-GE’s V162-5.6MW (IECS), SPV-Sunpower’s SPR-P5-545-UPP, and BSS-Freqcon’s BESS-3000 (i.e., Battery Energy Storage System 3000), which are provided by the corresponding manufacturers. According to the outcomes of the study, the results are found to be coherent with those obtained using other techniques that are available in the literature. These results are considered for the RA of the EDS. RA is further analyzed considering the uncertainties in reliability data of WTG and SPV, including the failure rate and the repair time. The RA of optimally placed DGs is performed by considering the electrical loss minimization. It is inferred that the reliability of the EDS improves by contemplating suitable reliability data of optimally integrated DGs.

Data Sources for Reliability Design Analysis

1993 ◽  
Vol 207 (1) ◽  
pp. 13-19 ◽  
Author(s):  
T R Moss ◽  
J E Strutt
Keyword(s):  
Reliability Assessment ◽  
Data Sources ◽  
Reliability Data ◽  
Process Industries ◽  
Reliability Design ◽  
The Public ◽  
Equipment Reliability ◽  
Critical Areas ◽  
Design Changes ◽  
Process System

Quantified reliability assessment is now employed by many organizations in the process industries. The objective is to identify critical areas in the plant where design changes are required to meet the safety or production specification. Mechanical system assessment is, however, frequently inhibited by the lack of representative equipment reliability data. Where these data are not available in-house recourse must be made to generic sources from the public domain. Members of the Process Industries Division's Mechanical Reliability Committee have recently completed a study to identify and evaluate the principal reliability data sources for use in process system assessments. This paper discusses the data requirements for reliability assessment and the use of these generic data to provide best-estimates of the reliability statistics for specific applications.

Analyzing the accuracy of bank reliability assessment based on official reporting

2020 ◽  
Vol 26 (2) ◽  
pp. 327-348
Author(s):  
O.I. Razumova
Keyword(s):  
Financial Reporting ◽  
Financial Stability ◽  
Systems Approach ◽  
Reliability Assessment ◽  
Financial Statements ◽  
Rating Agencies ◽  
Short Term Forecasting ◽  
One Year ◽  
Key Indicators ◽  
Correct Forecast

Subject. The article considers ratings of banks' reliability. Objectives. The aim is to evaluate the accuracy of existing methodology for bank reliability assessment based on official reporting, to identify patterns between indicators and factors that can affect the financial sustainability of a bank. Methods. The study draws on the comparative analysis of key indicators of bank's financial statements one year prior to the introduction of provisional administration, and evaluates the results of existing methods for analyzing the financial standing of banks. Results. The findings show that those methods that use only official reporting to assess the reliability of banks are not sufficient for short-term forecasting of financial stability. Ratings of the majority of agencies that rest on official reporting have a high percentage of erroneous results, therefore, rating agencies are not able to predict the regulator's decisions regarding a credit institution. Conclusions. Currently, there are no universal methods to determine reliability, which would provide a correct forecast of deteriorated financial position of the bank. It is important to use a systems approach, where financial reporting is not a key component.

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