Sound Analysis of Computer Numerical Control Machines Using AI Tools: Investigating Zero Crossing Rate Effects on the Environment
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.
Authors
- Shahidul M. Islam (ORCID: https://orcid.org/0000-0001-5769-6844)
- Syed Abdul Moeed
- R. M.
- Janardan Upadhyay (ORCID: https://orcid.org/0000-0003-1364-0579)
- M. Pompapathi (ORCID: https://orcid.org/0000-0002-4884-9754)
- Subhra Prosun Paul (ORCID: https://orcid.org/0000-0002-2638-5303)
Institutions
- Guntur Medical College (IN)
- Kakatiya University (IN)
- Aditya Birla (India) (IN)
Publication Details
- Journal
- Journal of Machine and Computing
- Published
- 2025-04-05
- DOI
- https://doi.org/10.53759/7669/jmc202505068
- Citations
- 1
- Primary Topic
- Vehicle Noise and Vibration Control
- Type
- article
- Field-Weighted Citation Impact
- 0.68