Details

Autor(en) / Beteiligte

• Elgargni, Milad Ahmed
• Al-Habaibeh, Amin

Titel

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.