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Article | REF: MT9135 V1

Hybrid diagnostic and prognostic methods

Author: Gilles ZWINGELSTEIN

Publication date: January 10, 2021

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1. Hybrid diagnosis and prognosis

Data-driven and model-based approaches to diagnosis and prognosis have their own merits and limitations, and are the subject of the articles [MT 9 133] and [MT 9 134] . For the record, data-driven methods exploit either sensor data directly, or data contained in databases (big data, cloud, etc.). These data are exploited using powerful statistical algorithms, artificial intelligence tools, data mining and cloud computing techniques. Model-driven methods, on the other hand, rely...

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