The literature on condition monitoring is nowadays characterized by a wide variety of machine learning approaches. We argue that, in most of the works, the experimental evaluation is conducted in an oversimplified scenario, where training and test data contain samples obtained under the same radial and torsional load conditions. In this paper, we propose to apply an interpretable machine learning model, namely decision trees, to perform fault detection and recognition across different load configurations, a challenging benchmark that requires general-ization capabilities. The rules extracted from the trees provide explanations of the classification process.

Cross-Load Generalization of Bearing Fault Recognition with Decision Trees / Briglia, Giovanni; Immovilli, Fabio; Cocconcelli, Marco; Lippi, Marco. - (2023), pp. 400-406. (Intervento presentato al convegno International Conference on System Reliability and Safety (ICSRS) tenutosi a Bologna, Italy nel 23-24 November 2023) [10.1109/ICSRS59833.2023.10381353].

Cross-Load Generalization of Bearing Fault Recognition with Decision Trees

Briglia Giovanni;Immovilli Fabio;Cocconcelli Marco;Lippi Marco
2023

Abstract

The literature on condition monitoring is nowadays characterized by a wide variety of machine learning approaches. We argue that, in most of the works, the experimental evaluation is conducted in an oversimplified scenario, where training and test data contain samples obtained under the same radial and torsional load conditions. In this paper, we propose to apply an interpretable machine learning model, namely decision trees, to perform fault detection and recognition across different load configurations, a challenging benchmark that requires general-ization capabilities. The rules extracted from the trees provide explanations of the classification process.
2023
24-nov-2023
International Conference on System Reliability and Safety (ICSRS)
Bologna, Italy
23-24 November 2023
400
406
Briglia, Giovanni; Immovilli, Fabio; Cocconcelli, Marco; Lippi, Marco
Cross-Load Generalization of Bearing Fault Recognition with Decision Trees / Briglia, Giovanni; Immovilli, Fabio; Cocconcelli, Marco; Lippi, Marco. - (2023), pp. 400-406. (Intervento presentato al convegno International Conference on System Reliability and Safety (ICSRS) tenutosi a Bologna, Italy nel 23-24 November 2023) [10.1109/ICSRS59833.2023.10381353].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1330314
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