Reliability Analysis and Stochastic Models in Reliability Engineering, 2nd Edition

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".

Deadline for manuscript submissions: 12 May 2025 | Viewed by 24

Special Issue Editors


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Guest Editor
Department of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, Ostrava, Czech Republic
Interests: applied statistics and probability in reliability theory and technology; reliability analysis of complex systems; mathematical models for maintenance optimization; methodology of Fault Tree Analysis; Bayesian reliability analysis; dynamic reliability models
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Guest Editor
Department of Informatics, University of Žilina, 010 26 Žilina, Slovakia
Interests: reliability analysis; multi-state system reliability analysis; multiple-valued logic; importance analysis; application of data-mining methods in reliability analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following the success of the first edition, this Special Issue continues to explore advancements in reliability analysis, focusing on both theoretical developments and practical applications. As reliability remains a critical factor across various industries—from consumer products and healthcare to manufacturing, software engineering, and environmental systems—this Special Issue seeks to showcase cutting-edge research that addresses the optimization of system reliability. Ensuring the consistent performance of systems under specified conditions is essential, as unexpected failures can lead to severe consequences, including safety hazards and operational disruptions.

This Special Issue invites contributions on topics such as the following:

  • Reliability analysis and prediction for complex systems.
  • Mathematical models for maintenance optimization.
  • Renewal processes and their applications.
  • Innovations in fault tree analysis methodologies.
  • Bayesian approaches to reliability.
  • Dynamic reliability models and their implications.
  • Multi-state system analysis.
  • Non-parametric methods in reliability studies.
  • Reliability data analysis and interpretation.

We encourage submissions that provide new insights into reliability theory, as well as practical applications aimed at improving system dependability across a wide range of fields.

Prof. Dr. Radim Bris
Prof. Dr. Elena Zaitseva
Guest Editors

Manuscript Submission Information

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Keywords

  • applied mathematics in reliability
  • stochastic reliability models
  • stochastic renewal processes for ageing and life extension
  • engineering reliability
  • reliability prediction
  • reliability data analysis
  • reliability, availability, and maintenance optimization under uncertainties
  • reliability design optimization

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