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Additive Model Applications For The Fault Detection Of Actuators

机译：致动器故障检测的附加模型应用

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摘要

The early detection of faults is critical if one wants to avoid the performance degradation and damage to the machinery or the loss of human life. Therefore, accurate diagnosis helps us to make a right decision on emerging actions and repairs [1, 2, 3]. In this paper, a new way of additive models and knowledge discovery data application for designing actuator has been presented. The planned aim is the fault detection of the control valve with a servomotor and a positioner (Fig. 2) based on the received model. Used additive models (1) overcome the curse of dimensionality and allow us to examine the predictor effects separately, in the absence of interactions [8, 9]. The backfitting algorithm with nonparametric smoothing techniques has been used for the estimation of the additive model [8, 9, 10]. The results of the modelling and the fault detection procedures have been presented. All research has been carried out based on the example of a control valve for measurement tracks in the boiler laboratory setup. Received results are satisfactory because the tests detected all simulated faults. Therefore, it is an useful method for the multivariate industrial process fitting and fault detection in the analyzed structures.
机译：如果要避免性能下降，机械损坏或人员伤亡，及早发现故障至关重要。因此，准确的诊断有助于我们对新出现的动作和维修做出正确的决定[1,2,3]。本文提出了一种用于执行器设计的附加模型和知识发现数据应用的新方法。计划的目标是根据收到的模型对带有伺服电机和定位器的控制阀进行故障检测（图2）。使用的加性模型（1）克服了维数的诅咒，并允许我们在没有交互作用的情况下分别检查预测变量的影响[8，9]。具有非参数平滑技术的反拟合算法已用于估算加性模型[8、9、10]。提出了建模结果和故障检测程序。所有研究都是基于锅炉实验室设置中用于测量轨迹的控制阀的示例进行的。由于测试检测到所有模拟故障，因此收到的结果令人满意。因此，它是用于分析结构中的多元工业过程拟合和故障检测的有用方法。

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  • 来源
    《Pomiary Automatyka Kontrola》 |2009年第3期|p.152-155|共4页
  • 作者

    Zofia Magdalena; AB; DA;

  • 作者单位

    A Faculty of Mathematics and Information Sciences at Warsaw University of Technology Graduate, and working towards a Ph.D at the Institute of Automatic Control and Robotics at the Faculty of Mechatronics at Warsaw University of Technology. Her research i;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    actuator; fault detection; additive model; data mining;

    机译：执行器;故障检测;附加模型;数据挖掘;

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