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首页> 外文会议>International Symposium on Stability Control of Rotating Machinery(ISCORMA-4); 20070827-31; Calgary(CA) >PATTERN RECOGNITION BASED SHAFT ANGLE ENCODER
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PATTERN RECOGNITION BASED SHAFT ANGLE ENCODER

机译：基于模式识别的轴角度编码器

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摘要

The aim of this paper is to present the method of pattern recognition realized by software layer and show its application to rotating machinery. The non-contacting eddy-current probe senses the shaft surface and experimentally collected data are analyzed. Three different sources of surface data are presented: the shaft supported on active magnetic bearing, the shaft mounted in ball bearing, and the rotor mounted in the homemade robot. Using the eddy current probe and sensing of the shaft surface pattern it is possible to obtain the image of rotor surface irregularities. The measurement provides information about misalignment and other structural deformations corresponding to the rotor mounting method and hardware tools. Surface irregularities are unique due to applied sensors, rotor's material, and the machining process quality. The collected digital data can be analyzed and presented as a function of the rotor angle and/or angular velocity. The quality of the rotor surface pattern recognition is strongly influenced by the sensor characteristics and properties of the data acquisition system being used. The methodology for the pertinent data analysis and possible applications are presented and obtained results are analyzed and compared.
机译：本文的目的是提出一种由软件层实现的模式识别方法，并展示其在旋转机械中的应用。非接触式涡流探头可感测轴表面，并分析实验收集的数据。呈现了三种不同的表面数据源：支撑在主动磁轴承上的轴，安装在球轴承中的轴以及安装在自制机器人中的转子。使用涡流探头并感测轴表面图案，可以获得转子表面不规则的图像。该测量提供有关未对准和其他与转子安装方法和硬件工具相对应的其他结构变形的信息。由于应用了传感器，转子的材料和加工过程的质量，表面不规则性是独特的。所收集的数字数据可以根据转子角度和/或角速度进行分析和显示。转子表面模式识别的质量在很大程度上受到所使用的数据采集系统的传感器特性和属性的影响。介绍了相关数据分析的方法和可能的应用，并对获得的结果进行了分析和比较。

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