Deep learning and acoustic approach for mechanical failure detection in industrial machinery
Ahmad Qurthobi,
Rytis Maskeliūnas
Abstract:Research into acoustic signal-based failure detection has developed into a subject that has attracted the attention of many researchers in recent years. Acoustic signal data collection can be performed without having to interrupt or stop the operation of the machine to be inspected. Therefore, it is very beneficial for the development of nondestructive testing and predictive maintenance. In this study, a collection of pump sound recordings that are part of the Malfunctioning Industrial Machine Investigation an… Show more
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