Analog Circuit Fault Diagnosis Based on Distributed Neural Network

نویسندگان

  • Long Wang
  • Yanheng Liu
  • Xiaoguang Li
  • Jian Guan
  • Qi Song
چکیده

In order to solve the problems caused by large dataset, such as the network scale and the training time, a new method of analog circuit fault diagnosis based on distributed neural network is presented in this paper. The model of distributed neural network is simply introduced. The arithmetic mechanism is depicted in detail and the arithmetic description is given. Simulation results show that this method can improve learning speed and carry out fault diagnosis of analog circuit accurately.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Fault Diagnosis of Analog Circuit Using DC Approach and Neural Networks

Several approaches for the diagnosis of faults in analog circuits have reasonably accuracy which comes at the cost of heavier processing requirements and lowered efficiencies. In this paper, we propose a time domain based technique for fault diagnosis using specifications extracted from the step response of a circuit. With the help of neural network we have to go for back propagation learning p...

متن کامل

Neural Network based Fault Diagnosis in Analog Electronic Circuit using Polynomial Curve Fitting

Many studies have been presented for the fault diagnosis of electronic analog circuits with worst case fault models using ±50% variation in the parametric values of the components. The study of for parametric fault detection in electronic analog circuits –faults as small as 10% or less was uncovered. The use of the neural network for parametric fault diagnosis in an analog circuit, based upon t...

متن کامل

Diagnosis Method for Analog Circuit Hard Fault and Soft Fault

Because the traditional BP neural network slow convergence speed, easily falling in local minimum and the learning process will appear oscillation phenomena. This paper introduces a tolerance analog circuit hard fault and soft fault diagnosis method based on adaptive learning rate and the additional momentum algorithm BP neural network. Firstly, tolerance analog circuit is simulated by OrCAD / ...

متن کامل

A Neural-Network-Based Fault Diagnosis Approach for Analog Circuits by Using Wavelet Transformation and Fractal Dimension as a Preprocessor

This paper presents a new method of analog fault diagnosis based on back-propagation neural networks (BPNNs) using wavelet decomposition and fractal dimension as preprocessors. The proposed method has the capability to detect and identify faulty components in an analog electronic circuit with tolerance by analyzing its impulse response. Using wavelet decomposition to preprocess the impulse resp...

متن کامل

Online Monitoring and Fault Diagnosis of Multivariate-attribute Process Mean Using Neural Networks and Discriminant Analysis Technique

In some statistical process control applications, the process data are not Normally distributed and characterized by the combination of both variable and attributes quality characteristics. Despite different methods which are proposed separately for monitoring multivariate and multi-attribute processes, only few methods are available in the literature for monitoring multivariate-attribute proce...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • JCP

دوره 5  شماره 

صفحات  -

تاریخ انتشار 2010