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Apparatus and method for diagnosing an engine using computer based models in combination with a neural network

机译:用于结合基于神经网络的基于计算机的模型来诊断发动机的设备和方法

摘要

An apparatus and method for diagnosing an engine using computer based models in combination with a neural network which reduces the neural network training and updating required is disclosed. The method and apparatus determine modeled values for a plurality of engine parameters as a function of sensed values in a plurality of initial values; sense a plurality of actual values for the engine parameters; and determine a difference between the actual values and the modeled values for the respective engine parameters. The differences are inputted into a neural network which generates an output pattern as a function of the differences and a plurality of weight values. The weight values and the initial values are then updated as a function of a comparison between the output patterns and a desired pattern, and the engine is responsively diagnosed as a function of the output pattern.
机译:公开了一种用于使用基于计算机的模型结合神经网络来诊断发动机的设备和方法,该设备和方法减少了对神经网络的训练和更新。该方法和设备根据多个初始值中的感测值来确定多个发动机参数的建模值。感测发动机参数的多个实际值;并确定各个发动机参数的实际值与模型值之间的差异。差异被输入到神经网络中,该神经网络根据差异和多个权重值生成输出模式。然后,根据输出模式与期望模式之间的比较来更新权重值和初始值,并且根据输出模式来响应地诊断发动机。

著录项

  • 公开/公告号US6240343B1

    专利类型

  • 公开/公告日2001-05-29

    原文格式PDF

  • 申请/专利权人 CATERPILLAR INC.;

    申请/专利号US19980221924

  • 申请日1998-12-28

  • 分类号G01M150/00;

  • 国家 US

  • 入库时间 2022-08-22 01:04:11

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