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
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