Machines Operating Conditions Classification Based on Mechanical Vibrations with Machine Learning Techniques
DOI:
https://doi.org/10.70567/mc.v41i19.99Keywords:
Machine learning, faults classification, mechanical vibrationsAbstract
The analysis machinery mechanical vibrations using machine learning techniques in order to characterize its operating condition is still in an exploratory stage. In this work, an intelligent classification system for the operating condition of machines based on a 1D convolutional neural network is proposed. After its training, the network is designed describe: i) the normal operating condition (speed and load level); and ii) the abnormal operating condition, discerning between four possible causes (misalignment, imbalance, bearing failure and lack of lubrication). The data set used includes synthetic and experimental signals. The results obtained are promising, showing a potential for the architecture to successfully fulfill its objective.
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