This article implements a sound analysis system using a technique for intelligence the difference in sound frequencies when operating a CNC milling machine. CNC machines technology generates sounds during any production process. In this study, using a microphone as a sound receiver, the software tools Librosa analyzed the sounds and then displayed the results on frequency and amplitude graphs to evaluate the sound quality in the mass production of CNC milling machines. We analyze the sound zero crossing rate (ZCR) and the Mel spectrogram audio data. By determining the frequency difference of the sound produced by the CNC machine in real time, it was indicated how it works to ensure environmental safety and technological processes.
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CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Shafikul Islam Md, Subhra Prosun Paul, Jyoti Upadhyay, Syed Abdul Moeed, Reddy N V S M and Pompapathi M;
Methodology: Subhra Prosun Paul and Jyoti Upadhyay;
Software: Jyoti Upadhyay, Syed Abdul Moeed, Reddy N V S M and Pompapathi M;
Data Curation: Shafikul Islam Md and Subhra Prosun Paul;
Writing- Original Draft Preparation: Shafikul Islam Md, Subhra Prosun Paul, Jyoti Upadhyay, Syed Abdul Moeed, Reddy N V S M and Pompapathi M;
Investigation: Shafikul Islam Md, Subhra Prosun Paul, Jyoti Upadhyay, Syed Abdul Moeed, Reddy N V S M and Pompapathi M;
Supervision: Jyoti Upadhyay, Syed Abdul Moeed, Reddy N V S M and Pompapathi M;
Validation: Subhra Prosun Paul and Jyoti Upadhyay;
Writing- Reviewing and Editing: Shafikul Islam Md, Subhra Prosun Paul, Jyoti Upadhyay, Syed Abdul Moeed, Reddy N V S M and Pompapathi M;
All authors reviewed the results and approved the final version of the manuscript.
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Jyoti Upadhyay
Department of Computer Science, G.D. Rungta College of Science and Technology, Bhilai, Chhattisgarh, India.
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Cite this article
Shafikul Islam Md, Subhra Prosun Paul, Jyoti Upadhyay, Syed Abdul Moeed, Reddy N V S M and Pompapathi M, “Sound Analysis of Computer Numerical Control Machines Using AI Tools: Investigating Zero Crossing Rate Effects on the Environment”, Journal of Machine and Computing, pp. 867-877, April 2025, doi: 10.53759/7669/jmc202505068.
