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
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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...
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