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首页> 外文会议>International Symposium on Information Technologies in Medicine and Education;ITME 2012 >A multi-sensor information fusion method for otologic drill operating state estimation based on physical model and adaptive filter
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A multi-sensor information fusion method for otologic drill operating state estimation based on physical model and adaptive filter

机译：基于物理模型和自适应滤波器的耳科手术状态估计的多传感器信息融合方法

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摘要

A multi-sensor information fusion method for otologic drill operating state estimation is presented in this paper. It is composed of physical model and adaptive filter. Redundant information in the sensor signals can be eliminated by physical model, which is established according to the mechanism of otologic drill. The model could show the internal relation between sensor signals and compress them to characteristic curve. The interferences caused by modeling error and signal processing can be suppressed by the adaptive filter. By fusing sensor information further, the filter could eliminate interferences in the characteristic curve and reserve useful information. This fusion method has been used to estimate otologic drill operating state, and the milling fault of drilling through the bone tissue wall in the operation can be identified with rate of 90%.
机译：本文介绍了一种多传感器信息熔融型静电钻型操作状态估计方法。它由物理模型和自适应滤波器组成。通过物理模型可以消除传感器信号中的冗余信息，这是根据耳机钻头的机制建立的。该模型可以显示传感器信号之间的内部关系并将其压缩到特性曲线。通过建模误差和信号处理引起的干扰可以由自适应滤波器抑制。通过进一步熔化传感器信息，滤波器可以消除特征曲线中的干扰和保留有用信息。这种融合方法已用于估计OTOLOGIC钻孔操作状态，并且通过速度钻孔通过骨组织壁钻孔故障以90％的速率鉴定。

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