- B11.Tr10—202x - Functional Safety of Artificial Intelligence for Machinery Applications
- DIN SPEC 13266:2020-04 - Guideline for the development of deep learning image recognition systems
- DIN SPEC 2343:2020-09 - Transmission of language-based data between artificial intelligences - Specification of parameters and formats
- DIN SPEC 92001-1:2019-04 - Artificial Intelligence -Life Cycle Processes and Quality Requirements -Part 1: Quality Metamodel
- DIN SPEC 92001-2 - Artificial Intelligence - Life Cycle Processes and Quality Requirements - Part 2: Robustness
- Fuzzy logic
- Genetic algorithms
- Heuristics
- ISO/IEC 22989 - Artificial Intelligence Concepts and Terminology
- ISO/IEC 23053 - Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
- ISO/IEC 23894 - Information Technology — Artificial Intelligence — Risk Managemen
- ISO/IEC 24668 - Information technology — Artificial intelligence —Process management framework for Big data analytics
- ISO/IEC 30166:2020 - Internet of things (IoT) — Industrial IoT
- ISO/IEC 38507 - Information technology --Governance of IT --Governance implications of the use of artificial intelligence by organizations
- ISO/IEC TR 24027 - Information technology — Artificial Intelligence (AI) — Bias in AI systems and AI aided decision making
- ISO/IEC TR 24028:2020 - Information technology - Artificial intelligence - Overview of trustworthiness in artificial intelligence
- ISO/IEC TR 24029 - Information technology -- Artificial Intelligence (AI) -- Assessment of the robustness of neural networks
- ISO/IEC TR 24030 - Artificial Intelligence (AI) — Use cases
- ITU-T Y.MLaaS-reqts - Cloud computing- functional requirements for machine learning as a service
- Neural networks
- Suppl on Y. Sup.aisr - Artificial Intelligence Standard Roadmap
Data acquisition
Field level: Controller/Actuator (HW), TestExecutor (SW) Factory level: FIWARE IDAS Gateway for CPPS
Data analytics
The Field/Factory levels feed normalized streams of raw data to the Cloud level for further processing.
Data modelling
(offline): MSEE BIM Toolbox, UAModeler
Data processing
Kanban
Cloud level: Test Back-end
Data storage
Kanban
Cloud level: FIWARE Context Broker + Cygnus extension
Cloud level: I2Lab