Vibroacoustic diagnostics of multi-shaft gear drives are based on the use of neural network vector quantization
The article considers the possibility of diagnosing local damage to the working surfaces of the gear teeth as part of a multi-shaft gear drive based on the analysis of the vibroacoustic signal using a neural network of vector quantization on the example of the speed box of the lathe SN-501. The proposed approach has shown rather high efficiency and accuracy of detection of the damaged gear wheel as a part of the considered object in the conditions of high vibroacoustic activity of all its components.