MACHINING TOOLS WEAR CONDITION DETECTION BASED ON WAVELET PACKET
In order to study the monitor of machining tool condition in machining based on computer vision, the experimental system on the state of machining tool wear is designed.The image processing technology is introduced into the monitor of machining tool wear, a new method of judging the cutting tool state is proposed by extracting the machining surface textual images wavelet packet energy distribution.The images of machined surface are collected, and then preprocessed.The preprocessed images are decomposed by using the wavelet packet, the sub-images contain rich intermediate frequency information are obtained, the characteristics reflecting the machining tool wear condition is extracted by calculating the wavelet packet energy distribution of the images.Experiments shows that there is a strong relativity between the wavelet packet energy distribution of machined surface and machining tool wear state, the tools wear condition can be estimated indirectly, and then the objective of monitoring the tools condition is achieved.It is concluded that the method of judging the machining tool wear condition through extracting the wavelet packet energy distribution of machined surface is simple, and the machining tool wear condition can be judged effectively in this way.
Machining tool wear Wavelet packet Image processing Condition detection
PENG-YANG LI CHONG-YANG HAO SHUANG-WU ZHU
School of Electronic Information, Northwestern Polytechnical University, Xian 710072, China
国际会议
2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)
香港
英文
1559-1564
2007-08-19（万方平台首次上网日期，不代表论文的发表时间）