Published by Elsevier in association with the European Safety and Reliability Association, and the Safety Engineering and Risk Analysis Division Reliability Engineering and System Safety is an international journal devoted to the development and application of methods for the enhancement of the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to achieve a balance between academic material and practical applications. The following topics are within the scope of the journal: methods for reliability and probabilistic safety assessment; model and parameter uncertainties; aleatory and epistemic uncertainties, sensitivity analysis, data collection and analysis; engineering judgement and expert opinions; human reliability; test and maintenance policies; models for ageing and life extension; systems analysis of the impact of earthquakes, fires, tornadoes, winds, floods, etc.; codes, standards and safety criteria; operator decision support systems; software reliability; methods and applications of automatic fault detection and diagnosis; dynamic reliability; design and evaluation of man machine systems and human interfaces; design innovation for safety and reliability; safety culture; accident investigation and management. The journal does not normally publish articles that involve fuzzy sets and related non-probabilistic methods unless they contribute significantly to the solution of substantive problems related to the analysis of real systems.

Reliability Engineering & System Safety (RESS) is :

International, Peer-Reviewed, Open Access, Refereed, Safety, Risk, Reliability, Quality, Safety Research, ENGINEERING , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 0951-8320, E-ISSN - 1879-0836, Established in - 1988, Impact Factor - 9.4

Not Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Research Article

July, 2023

Neural ordinary differential equation for sequential optimal design of fatigue test under accelerated life test analysis

The literature on fatigue analysis can be classified into parametric or analytic approaches that try to model the fatigue data with a specific distribution, such as the optimal sequential Ac...

Research Article

Marzieh Khakifirooz

July, 2023

Neural ordinary differential equation for sequential optimal design of fatigue test under accelerated life test analysis

The literature on fatigue analysis can be classified into parametric or analytic approaches that try to model the fatigue data with a specific distribution, such as the optimal sequential Ac...

Research Article

Kamyar Sabri-Laghaie

January, 2022

A novel reliability monitoring scheme based on the monitoring of manufacturing quality error rates

The reliability of products can be affected by the quality errors which may occur during the production process. Product reliability decreases when the rate of manufactured products with qua...

Reliability Engineering & System Safety (RESS)

Journal Descriptions

Reliability Engineering & System Safety (RESS) is :

International, Peer-Reviewed, Open Access, Refereed, Safety, Risk, Reliability, Quality, Safety Research, ENGINEERING , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 0951-8320, E-ISSN - 1879-0836, Established in - 1988, Impact Factor - 9.4

Not Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Indexing

Scopus

WoS

ABCD

Elsevier

Science Direct

Research Gate

SJR

WorldCat

ISSN Portal

Peeref

MIAR

Publications of RESS

Neural ordinary differential equation for sequential optimal design of fatigue test under accelerated life test analysis

Neural ordinary differential equation for sequential optimal design of fatigue test under accelerated life test analysis

A novel reliability monitoring scheme based on the monitoring of manufacturing quality error rates

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