首页> 外文会议>Proceedings of the 2007 International Conference on Machine Learning and Cybernetics >FAULT DATA MINING ON THE ENCODERS IN NUMERIC CONTROL SYSTEM BASED ON THE INFORMATION REDUNDANCY OF VELOCITY
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FAULT DATA MINING ON THE ENCODERS IN NUMERIC CONTROL SYSTEM BASED ON THE INFORMATION REDUNDANCY OF VELOCITY

机译:基于速度信息冗余的数控系统编码器故障数据挖掘

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In order to arising the safety and reliability of numerical control system, aiming at the conventionally used encoders in the system as the equipment of feedback in position-loop, the data mining of its fault is analyzed.Benefiting from the reluctant information of velocity in the normal servo system, the principle component analysis is introduced to solving the fault of losing codes and pausing codes in the encoder.At the same time, the basic principles and flow process are presented.In order to validate the effectiveness of the mining way based on the software of Matlab, simulation shows that it can perform a very exact diagnosis at the time of fault occurring.This idea provides a believable way for the fault data mining in numeric control system.
机译:为了提高数控系统的安全性和可靠性,针对系统中常规使用的编码器作为位置环反馈的设备,对故障的数据挖掘进行了分析。在常规伺服系统中,引入主成分分析法解决编码器中丢失码和暂停码的故障。同时,介绍了基本原理和流程。 Matlab软件的仿真表明,该系统可以在故障发生时进行非常准确的诊断。这一思想为数控系统中的故障数据挖掘提供了一种可行的方法。

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