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Does stacking improve fault diagnosis? A case study with reciprocating air compressor vibration signals

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Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Ahead of Print.
Ensemble learning methods, particularly stacking, are often expected to enhance the performance of machine learning models. In this study, an investigation was carried out on whether stacking consistently improves classification accuracy in the context of ...