EngineeringComputer Science

Comparison of Signal Processing Techniques for Condition Monitoring Based on Artificial Neural Networks

M. Tiboni, G. Incerti, C. Remino, M. Lancini

2018.6.20Applied Condition Monitoring

DOI: 10.1007/978-3-030-11220-2_19

Résumé tlooto

The paper presents the results of a study aimed to compare different signal processing techniques for the condition monitoring of a mechanical system for indexing motion, using Artificial feed-forward neural networks as classifiers.

Résumé

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Format de citation

TIBONI, M., et al. Comparison of signal processing techniques for condition monitoring based on artificial neural networks. Applied Condition Monitoring, 2018.