Real-time monitoring system of tool breakage using Kalman filtering |
| |
Authors: | Shozo Takata Masami Ogawa Peter Bertok Junro Ootsuka Katsumori Matushima Toshio Sata |
| |
Affiliation: | 1. Tokyo University, Japan;2. Canon Inc., Japan;3. Hungarian Academy of Science, Hungary;4. Matsushita Communication Industrial Co. Ltd., Japan;5. IBM, Japan;6. University of Tokyo, Japan |
| |
Abstract: | In this paper, a real-time monitoring system of tool breakage, which measures the cutting torque from the spindle motor current, is described. The system uses an auto-regressive (AR)-model which is adapted for the measured signal using the Kalman filtering technique. The tool breakage is detected by monitoring the residual, that is, the deviation of the observed signal from the estimated value obtained by the AR-model. Additional processing of the residual is introduced to discriminate the signature of tool breakage from the effect caused by the marked change in the cutting condition. To reduce the computation time, the fast calculation algorithm is adopted for estimating the coefficient vector of the AR-model. The monitoring experiment has proven the effectiveness of the system in a milling operation. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|