4. Advantages and disadvantages of data-driven methods
The data-based diagnostic and prognostic methods described in the previous sections make use of statistical methods and artificial intelligence, exploiting the information contained in the various databases. By analyzing the technical and economic performance of these methods, it is possible to draw up a summary of their advantages and disadvantages, which is briefly described below.
4.1 Benefits
Data-driven methods have the following advantages:
they do not require assumptions or empirical estimates of physical parameters;
they are relatively simple to implement for real-life applications;
they are based on well-established scientific disciplines and the associated...
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Advantages and disadvantages of data-driven methods
Conclusion
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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