Reliability Evaluation for Industrial Systems: State of the Art
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Industrial Systems".
Deadline for manuscript submissions: closed (15 October 2022) | Viewed by 8226
Special Issue Editors
Interests: robust design optimization; reliability based design stochastic optimization; structural optimization
Interests: system reliability evaluation; RAM (reliability, availability, and maintainability) optimization; prognostics and health management (PHM)
Special Issue Information
Dear Colleagues,
The complexity of industrial systems and the high requirements for mission reliability have posed great challenges for reliability evaluation and the design of all types of machines. Therefore, effective modeling, simulation techniques, and methods for assisting reliability evaluation and design have been demanding. At the same time, failure physics analysis, reliability testing techniques, and effective data processing methods are required for verification and/or support of the assessment of design of those systems. With this Special Issue, we intend to collect state-of-the-art developments on reliability theories and engineering practices related to industrial systems and to highlight important directions as well as challenges for further development.
The new wave of big data has posed new challenges to the reliability research community, given that traditional reliability models/methods were developed upon small/medium sized datasets. Therefore, new methods for big data such as deep learning need to be integrated into reliability models to cope with the new challenges.
This Special Issue will focus on but is not limited to the following topics:
- reliability modeling
- reliability simulations
- reliability testing
- failure modes
- failure physics of machines
- system reliability evaluation
- reliability prediction and improvement
- structural reliability analysis
- design for reliability
- maintenance modeling
- design for maintainability
- resilient design
- robust design
- reliability techniques
- reliability-centered maintenance
- accelerated testing
- fault tolerance systems
- risk analysis
- maintenance 4.0
- built-in redundancy
- prognostics and health management
- predicative maintenance
Prof. Dr. Hongshuang Li
Prof. Dr. Yan-Fu Li
Prof. Dr. Xufeng Zhao
Guest Editors
Manuscript Submission Information
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