Drill condition monitoring using ART-1

A neural network is applied for the detection/identification of worn cutting tools on turning center. The vibration signal collected from accelerometer is first transformed into a time-frequency spectrogram. The spectrogram is then normalized based on either a statistical thresholding method or a stack representation of the spectrogram. A set of processed binary input image is then clustered adaptively using ART-1 neural network.<
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