Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Analog circuit fault diagnosis method based on polynomial fitting and state monitoring

A technology of simulating circuit faults and polynomial fitting, applied in the direction of analog circuit testing, electronic circuit testing, etc., can solve problems such as inseparability, and achieve the effect of fault diagnosis.

Active Publication Date: 2019-10-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Overlapping regions illustrate faults from different fault sources that could otherwise be distinguished, but due to tolerance effects, these faults have the same characteristics and are therefore inseparable

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Analog circuit fault diagnosis method based on polynomial fitting and state monitoring
  • Analog circuit fault diagnosis method based on polynomial fitting and state monitoring
  • Analog circuit fault diagnosis method based on polynomial fitting and state monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0092] In order to illustrate technical effect of the present invention better, adopt as figure 1 The shown second-order Thomas analog filter circuit is taken as an example to illustrate the present invention. In this embodiment, the second-order Thomas analog filter circuit takes V out As a measuring point, the fuzzy group situation under this measuring point is: {R 1}, {R 2}, {R 3 ,C 1}, {R 4 , R 5 , R 6 ,C 2}. The fuzzy group is determined by the circuit structure and has nothing to do with the excitation signal, but only with the selection of measuring points. Under normal conditions, the DC power supply is 5V, and under the excitation of 1V, 1kHZ sinusoidal signal, the method of the present invention is used to obtain the characteristic vector representing the fault element. Table 1 is the eigenvectors representing faulty components in this embodiment.

[0093] fuzzy group k 1

k 2

k 3

{R 1}

K 1

0 0.9632 0 {R 2}

K 2

...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an analog circuit fault diagnosis method based on polynomial fitting and state monitoring. The method comprises steps: a transfer function of a monitoring point is acquired, fuzzy group information of the analog circuit is analyzed, a representative fault component of each fuzzy group is determined, a characteristic matrix of each representative fault component is obtainedbased on the transfer function, over determined systems by polynomial fitting are constructed, a coefficient vector corresponding to each representative fault component is calculated and obtained, andwhen the analog circuit fails, the monitoring point is subjected to state monitoring, a test matrix and a constant term matrix are acquired, a characteristic vector which enables a least squares distance to exist between the test matrix and the equation determined by the characteristic vector of each representative fault component is solved, and the corresponding representative fault component isthe fault diagnosis result. Thus, fault diagnosis on the analog circuit can be effectively realized.

Description

technical field [0001] The invention belongs to the technical field of analog circuit fault diagnosis, and more specifically relates to an analog circuit fault diagnosis method based on polynomial fitting and state monitoring. Background technique [0002] With the rapid development of integrated circuits, in order to improve product performance, reduce chip area and cost, it is necessary to integrate digital and analog components on the same chip. According to data reports, although the analog part only accounts for 5% of the chip area, its fault diagnosis cost accounts for 95% of the total diagnostic cost. Analog circuit fault diagnosis has always been a "bottleneck" problem in the integrated circuit industry. At this stage, some relatively well-developed analog circuit fault diagnosis theories have been applied to practice, such as: fault dictionary method in pre-test analog diagnosis method, component parameter identification method and fault verification method in post-...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01R31/316
CPCG01R31/316
Inventor 杨成林周秀云刘震
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products