Machine Tool Acoustic Dataset: Drilling and Lathe Operations During Idling and Machining

Description

This dataset contains experimental acoustic measurements collected from drilling and lathe machine tools under different operating conditions. The data were recorded using a 31-channel microphone array to capture the acoustic signatures generated during machine operation. Two primary operating states are included in the dataset: idling condition, where the machine runs without material removal, and machining (in-process) condition, where active cutting or drilling operations are performed. The dataset is intended to support research in machine tool noise analysis, acoustic source localization, and signal processing techniques such as beamforming. The recorded acoustic signals can be used to study noise generation mechanisms in machining processes and to evaluate advanced noise imaging algorithms. In addition to the acoustic measurement files, the dataset also includes the spatial coordinates of the microphone array used during the experiments. The microphone array geometry is provided in terms of the position coordinates of each microphone, which are essential for performing array signal processing and beamforming analysis. The data are organized into separate folders corresponding to the different machine tools and operating conditions, including: Drilling machine (idling condition) Drilling machine (machining/in-process condition) Lathe machine (idling condition) Lathe machine (machining/in-process condition) Microphone array coordinate file These datasets can be used for research and development in acoustic imaging, noise source localization, machine condition monitoring, and experimental validation of signal processing algorithms.

Steps to reproduce

1. Download the dataset files containing acoustic measurements from the drilling and lathe machine tools, along with the microphone array coordinate file. 2. Import the acoustic data into a signal processing environment such as MATLAB, Python, or other acoustic analysis software. 3. Load the microphone array coordinate file, which contains the spatial positions of each microphone in the array. These coordinates are required for array signal processing and beamforming analysis. 4. Select the desired dataset based on the operating condition: * Drilling machine – idling condition * Drilling machine – machining (in-process) condition * Lathe machine – idling condition * Lathe machine – machining (in-process) condition 5. Apply a dereverberation algorithm to remove reflected components from the acoustic signals. Then apply Hanning windowing and filtering to improve signal quality. 6. Apply acoustic imaging techniques, such as beamforming combined with a background noise removal algorithm and deconvolution, to analyze the sound field generated by the machine tools. 7. Compare the results obtained from idling and machining conditions to investigate differences in acoustic characteristics and noise source behavior.

Institutions

• Indian Institute of Technology Kanpur

  Uttar Pradesh, Kanpur

Categories

Licence