Reliability and Risk of Complex Systems: Modelling, Analysis and Optimization, 2nd Edition
A special issue of Axioms (ISSN 2075-1680).
Deadline for manuscript submissions: 31 August 2025 | Viewed by 550
Special Issue Editors
Interests: reliability modelling and analysis; Bayesian inference; uncertainty quantification; prognostics and health management
Special Issues, Collections and Topics in MDPI journals
Interests: industrial statistics; reliability engineering; degradation modeling
Special Issues, Collections and Topics in MDPI journals
Interests: reliability; maintenance; risk; energy system; optimization
Special Issues, Collections and Topics in MDPI journals
Interests: reliability, availability, maintainability and safety (RAMS) analysis; system engineering; diagnostics and prognostics; maintenance optimization; asset management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Modern industries are becoming highly integrated and developing overwhelming complexities, which simultaneously entails benefits and potential risks with catastrophic consequences. Reliability engineering, as an engineering discipline, develops rapidly throughout the whole lifecycle management of industrial systems, covering system analysis, system design, operation and maintenance, etc.
This Special Issue aims to report cutting-edge methods and techniques in reliability-related fields by highlighting research on these key issues.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Reliability modelling and analysis of complex systems;
- Reliability-based design optimization (RBDO) methods;
- Risk analysis and reliability assessment for large-scale complex systems;
- Predictive maintenance schemes and decision-making optimization;
- Statistical methods for degradation modelling;
- Machine learning techniques and applications in reliability engineering;
- Uncertainty quantification and analysis for safety-critical systems;
- Bayesian methods for reliability analysis.
We look forward to receiving your contributions.
Dr. Lechang Yang
Dr. Qingqing Zhai
Prof. Dr. Rui Peng
Dr. Aibo Zhang
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- reliability modelling
- optimization
- risk analysis
- statistical methods
- degradation modelling
- machine learning
- uncertainty quantification
- bayesian methods
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