- Read more about NEURAL NETWORK-BASED SYMBOLIC REGRESSION FOR EMPIRICAL MODELING OF THE BEHAVIOR OF A PLANETARY GEARBOX
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Gearbox condition monitoring and quality surveillance are crucial techniques to ensure safe and cost-efficient machine operations. In condition monitoring, the interpretation of the different vibration spectrum elements is still an open question, many works show that some predefined vibration models are improper to explain the spectrum contents. In this paper, we investigate a method to identify the mixture model that describes a single-stage planetary gearbox vibration to properly interpret the vibration spectrum.
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