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2. Common methods and tools for diagnosis, prognosis and estimation of DEFAD
Since the beginning of the 21st century, and particularly since the 1950s, when artificial intelligence emerged, tens of thousands of publications, books, specialized conferences and industrial applications have been devoted to the development of a huge number of diagnostic and prognostic methods. This diversity of approaches makes an exhaustive description impossible within the scope of this article. However, we can classify them into two main families: methods based on statistical data processing and those based on the various branches of artificial intelligence (pattern recognition, neural networks, machine learning, etc.).
This section is devoted to a brief description of the principles of the most commonly used methods in these two categories, following a review of machine learning techniques
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Common methods and tools for diagnosis, prognosis and estimation of DEFAD
Application examples
Bibliography
Websites
Nasa database: https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/ (consulted on February 9, 2020)
The Prognostics and Health Management Society (PHM Society): ...
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 guidelines....
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