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Purpose: Developments in Industry 4.0 technologies and Artificial Intelligence (AI) have enabled data-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of induction motors (IMs). The maintenance and early FD/D...
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neural network (CNN), utilizing vibration and thermal features extracted from healthy, chipped, and broken tooth gear health … categories. The performance of the CNN is compared with conventional machine learning models, including Naïve Bayes (NB), random … forest (RF), and support vector machine (SVM) classifiers. Experimental investigations highlight CNN's remarkable performance …
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Fault detection and identification are critical for the accurate maintenance and management of industrial machinery. In this regard, data-driven condition monitoring models play an important role in machinery fault diagnosis and management. This study investigates the applicability of various...
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