This paper covers differences in accuracies of an artificial intelligence model that classifies different sets of sensor outputs (in this case, machinery shaft vibrations) collected by sensors into varying levels of weight on the shaft.
This paper covers differences in accuracies of an artificial intelligence model that classifies different sets of sensor outputs (in this case, machinery shaft vibrations) collected by sensors into varying levels of weight on the shaft. The model uses a neural network to categorize the data, and there are varying accuracies depending on weights at the end of the shaft. This paper goes over the causes for these changes and patterns one can notice by going through the results.
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