Abstract
Evolution of Industry 4.0 and the integration of the digital, physical, and human worlds, reliability and safety engineering must evolve in order to address the challenges currently and in the future. This chapter aimed to describe the application of digital transformation in the reliability engineering and risk analysis. In this chapter, the principle of digital transformation is introduced as well as some of the opportunities and challenges in reliability engineering. New directions for research in system modeling, big data analysis, health management, cyber-physical system, human–machine interaction, uncertainty, jointly optimization, communication, and interfaces are proposed. Various topics may be investigated individually, however, we present here a perspective on safety and reliability analysis in the era of digital transformation that would be suitable for discussion and consideration by scientists interested in this topic. The digital transformation combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems.
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Abbreviations
- Notation :
-
Main acronyms
- CPS:
-
Cyber-physical systems
- IoT:
-
Internet of Things
- IT:
-
Information technology
- ML:
-
Machine learning
- ANN:
-
Artificial neural networks
- AI:
-
Artificial intelligence
- ITU:
-
International Telecommunication Union
- FTA:
-
Fault tree analysis
- FMEA:
-
Failure modes and effects analysis
- HAZOP:
-
Hazard and operability methodology
- MBE:
-
Model-based engineering
- GTST-MLD:
-
Goal tree-success tree and master logic diagram
- STPA:
-
System theoretic process analysis
- CIA:
-
Confidentiality, integrity, and availability
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Afsharnia, F. (2023). Risk and Reliability Analysis in the Era of Digital Transformation. In: Garg, H. (eds) Advances in Reliability, Failure and Risk Analysis. Industrial and Applied Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-19-9909-3_12
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DOI: https://doi.org/10.1007/978-981-19-9909-3_12
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