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PWM型VLSI神经网络在故障诊断中的应用
引用本文:吕琛, 王桂增, 张泽宇. PWM型VLSI神经网络在故障诊断中的应用. 自动化学报, 2005, 31(2): 195-201.
作者姓名:吕琛  王桂增  张泽宇
作者单位:1.Department of Automation, Tsinghua University, Beijing 100084
摘    要:An improved pulse width modulation (PWM) neural network VLSI circuit for fault diagnosis is presented, which differs from the software-based fault diagnosis approach and exploits the merits of neural network VLSI circuit. A simple synapse multiplier is introduced, which has high precision, large linear range and less switching noise effects. A voltage-mode sigmoid circuit with adjustable gain is introduced for realization of different neuron activation functions. A voltage-pulse conversion circuit required for PWM is also introduced, which has high conversion precision and linearity. These 3 circuits are used to design a PWM VLSI neural network circuit to solve noise fault diagnosis for a main bearing. It can classify the fault samples directly. After signal processing, feature extraction and neural network computation for the analog noise signals including fault information, each output capacitor voltage value of VLSI circuit can be obtained, which represents Euclid distance between the corresponding fault signal template and the diagnosing signal, The real-time online recognition of noise fault signal can also be realized.

关 键 词:Pulse signal   fault diagnosis   neural network   noise   pulse width modulation   VLSI
收稿时间:2003-05-19
修稿时间:2004-07-04

PWM VLSI Neural Network for Fault Diagnosis
LU Chen, WANG Gui-Zeng, ZHANG Ze-Yu. PWM VLSI Neural Network for Fault Diagnosis. ACTA AUTOMATICA SINICA, 2005, 31(2): 195-201.
Authors:Lu CHEN  WANG Gui-Zeng  ZHANG Ze-yu
Affiliation:1. Department of Automation, Tsinghua University, Beijing 100084
Abstract:An improved pulse width modulation (PWM) neural network VLSI circuit for fault diagnosis is presented, which differs from the software-based fault diagnosis approach and exploits the merits of neural network VLSI circuit. A simple synapse multiplier is introduced, which has high precision, large linear range and less switching noise effects. A voltage-mode sigmoid circuit with adjustable gain is introduced for realization of different neuron activation functions. A voltage-pulse conversion circuit required for PWM is also introduced, which has high conversion precision and linearity. These 3 circuits are used to design a PWM VLSI neural network circuit to solve noise fault diagnosis for a main bearing. It can classify the fault samples directly. After signal processing, feature extraction and neural network computation for the analog noise signals including fault information, each output capacitor voltage value of VLSI circuit can be obtained, which represents Euclid distance between the corresponding fault signal template and the diagnosing signal, The real-time online recognition of noise fault signal can also be realized.
Keywords:Pulse signal  fault diagnosis  neural network  noise  pulse width modulation  VLSI
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