Aims and Scope

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; Physics of Failure; Engineering Judgments 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 also does normally publish articles that involve the practical application of Artificial Intelligence (AI) techniques in all branches of reliability engineering, and using the fuzzy sets theory and related non-probabilistic methods that they contribute significantly to the solution of substantive problems related to the analysis of real systems.

The journal will contain contributed material in the form of original research papers, review articles, industrial case studies, safety recommendations, and short communications.

 

The journal topics:

The journal topics are reliability, risk, safety, and allied disciplines including, but not limited to:

  • Maintainability
  • Physics of failure and failure analysis
  • Uncertainty analysis
  • Reliability tests
  • PHM (Prognostics and Health Management) & ISHM (Integrated System Health Management)
  • Cyber-Physical system and Industry 4.0
  • Warranty analysis
  • Risk analysis
  • System optimization
  • Human errors and reliability
  • RAMS Management

Topics eligible for publication range from hardware to software, from materials to systems, from fundamental theories to real-world applications, from conceptual design to wear out, from the user and industrial devices to manufacturing plants, from individual elements to complex systems, from methods for optimization to ways of predicting and measuring behavior in the field.