BSI PD IEC TR 63468:2023
$189.07
Nuclear facilities. Instrumentation and control, and electrical power systems. Artificial Intelligence applications
| Published By | Publication Date | Number of Pages |
| BSI | 2023 | 48 |
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 2 | undefined |
| 4 | CONTENTS |
| 6 | FOREWORD |
| 8 | INTRODUCTION |
| 10 | 1 Scope 2 Normative references 3 Terms and definitions |
| 15 | 4 Abbreviated terms |
| 16 | 5 AI overview from a nuclear perspective 5.1 Brief history of AI |
| 17 | 5.2 Major concepts of AI 5.2.1 AI definition Figures Figure 1 – Brief history of AI |
| 18 | 5.2.2 Levels of intelligence and autonomy Figure 2 – Functional view of a nuclear AI system |
| 20 | 5.2.3 Data processing and specifications Tables Table 1 – Example of autonomy levels for nuclear facilities (Referring to the categorization scheme of autonomy levels from SAE) |
| 21 | 5.2.4 Symbolic and sub-symbolic approaches |
| 22 | Figure 3 – Major approaches to AI |
| 25 | Figure 4 – Machine learning pipeline (workflow) |
| 26 | Figure 5 – Major approaches to machine learning |
| 29 | 5.3 Specific fields of AI applications 5.3.1 Data mining 5.3.2 Natural language processing |
| 30 | 5.3.3 Computer vision 5.4 Challenges of AI applications in nuclear facilities 5.4.1 General 5.4.2 Trustworthiness |
| 31 | 5.4.3 AI verification and validation 6 Some potential nuclear AI applications 6.1 General 6.2 Virtual sensors |
| 32 | 6.3 Intelligent control 6.4 Ageing management 6.5 Preventive maintenance |
| 33 | 6.6 Anomaly detection 6.7 Operational decision support 6.8 Cyber security |
| 34 | 6.9 Human factor engineering 7 Proposed structure for SC 45A AI standards 7.1 General 7.2 Key criteria for structure design 7.2.1 Technical coverage |
| 35 | 7.2.2 Hierarchical levels 7.2.3 Entry point documents 7.2.4 Reference to other standards 7.3 Structure of AI standard series |
| 36 | 8 Near-term development priorities Figure 6 – Proposed structure for SC 45A AI standards |
| 37 | 9 Organizational challenges and recommendation 9.1 Cross-cutting characteristics of nuclear AI standards Table 2 – Working groups of IEC SC 45A Table 3 – Cross-cutting between nuclear AI applications and SC 45A working groups |
| 38 | 9.2 Organizational challenges 9.3 Recommendations 9.3.1 General Table 4 – Cross-cutting between general AI topics and SC 45A working groups |
| 39 | 9.3.2 Title and scope of the proposed new working group 9.3.3 Liaison with external organizations |
| 40 | Annex A (informative)AI applications beyond the SC 45A scope A.1 General A.2 Nuclear research and development A.2.1 Overview A.2.2 Material property prediction A.2.3 Thermal-fluid phenomena |
| 41 | A.3 Nuclear reactor system design A.3.1 Overview A.3.2 Steam explosion analysis A.3.3 Thermal fatigue analysis A.3.4 DNBR prediction |
| 42 | A.3.5 Fuel assembly design A.4 Nuclear project construction A.4.1 Overview A.4.2 Monitoring concrete quality A.4.3 Non-destructive testing |
| 43 | A.5 Plant operation and maintenance A.5.1 Overview A.5.2 Accident identification A.5.3 Transient identification |
| 44 | A.5.4 Fuel management A.5.5 Component inspection A.5.6 Water chemistry management A.5.7 Reactor uprate support |
| 45 | A.5.8 Physical protection A.5.9 Probabilistic risk assessments |
| 46 | Bibliography |
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