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Analytical and comparative study of using a CNC machine spindle motor power and infrared technology for the design of a cutting tool condition monitoring system
Ist Teil von
2015 IEEE 13th International Conference on Industrial Informatics (INDIN), 2015, p.782-787
Ort / Verlag
IEEE
Erscheinungsjahr
2015
Quelle
IEEE Electronic Library (IEL)
Beschreibungen/Notizen
This paper outlines a comparative study to compare between using the power of the spindle and the infrared images of the cutting tool to design a condition monitoring system. This paper compares the two technologies for the development of a tool condition monitoring for milling processes. Wavelet analysis is used to process the power signal. Image gradient and Wavelet analyses are used to process the infrared images. The results show that the image gradient and wavelet analysis are powerful image processing techniques in detecting tool wear. The power of the motor of the spindle has shown less sensitivity to tool conditions in this case when compared to infrared thermography.