Français
2. Hybrid methods for diagnosis and prognosis
Hybrid methods are currently the subject of numerous publications and experiments, and do not have a recognized international classification. They use sequential or parallel combinations of several methods from the following families:
experience- and knowledge-based methods based on human expertise and knowledge engineering techniques;
methods based mainly on data processing with no knowledge of physical laws;
methods based on physical models representing physical phenomena.
2.1 Challenges and milestones for hybrid diagnosis and prognosis
The Ultimate Scientific and Technical Reference
This article is included in
Maintenance
This offer includes:
Knowledge Base
Updated and enriched with articles validated by our scientific committees
Services
A set of exclusive tools to complement the resources
Practical Path
Operational and didactic, to guarantee the acquisition of transversal skills
Doc & Quiz
Interactive articles with quizzes, for constructive reading
Hybrid methods for diagnosis and prognosis
Main hybrid methods
Bibliography
Websites
The Prognostics and Health Management Society (PHM Society)
University of Cincinatti bearing test database site: NSF I/UCRC on Intelligent Maintenance Systems (IMS)
https://www.iucrc.org/center/nsf-iucrc-intelligent-maintenance-systems
...Standards and norms
- Machine condition monitoring and diagnostics – Vocabulary - ISO 13372 - 2012
- Condition monitoring and diagnostics of machines – data interpretation and diagnostics techniques – Part 1: General guidelines - ISO13379-1 - (2012)
- Machine monitoring and diagnostics – Prognosis – Part 1: General guidelines - ISO 13381-1 - (2015)
- Condition monitoring and diagnostics of wind turbines – Part 1: General...
The Ultimate Scientific and Technical Reference
