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

BIT (built-in test) intermittent-fault diagnosis method based on sparse representation

A sparse representation, fault diagnosis technology, applied in error determination, instrumentation, error detection/correction, etc., can solve problems such as strong randomness, short duration, BIT false alarm, etc., to reduce false alarm rate, reduce downtime and maintenance , the effect of high diagnostic accuracy

Pending Publication Date: 2018-06-15
CHONGQING UNIV
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Intermittent faults are usually generated under conditions such as extreme environments, weak soldering in circuits, or grid fluctuations. They can be recovered within a limited time without repairs. They are characterized by strong randomness and short duration. If they cannot be diagnosed in time identified, will lead to BIT false alarm

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
  • BIT (built-in test) intermittent-fault diagnosis method based on sparse representation
  • BIT (built-in test) intermittent-fault diagnosis method based on sparse representation
  • BIT (built-in test) intermittent-fault diagnosis method based on sparse representation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] Below in conjunction with accompanying drawing and specific embodiment, the present invention is described in further detail:

[0018] In recent years, sparse representation has achieved significant development and remarkable achievements in the field of signals, showing many advantages, and is widely used in various fields such as face recognition, image processing, and target tracking. The invention adopts the method of sparse representation to diagnose the BIT fault data, and has good diagnosis effect. In the present invention, it is first necessary to collect historical BIT data of different devices, including normal data types, intermittent fault data types and permanent fault data types, select 70% of the data from each type of data type as a training sample set, and remove the labels from the remaining data as a test The sample set is trained by the K-SVD algorithm to construct a BIT over-complete dictionary, which is used to sparsely represent the test samples, ...

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 a BIT (built-in test) intermittent-fault diagnosis method based on sparse representation. The method specifically includes the following steps: (1) collecting different equipment history BIT data of which types include a normal data type, an intermittent-fault data type and a permanent-fault data type, selecting 70% of data from each data type to use the same as a trainingsample set, and removing labels of the remaining data to use the same as a test sample set; (2) utilizing a k-singular-value-decomposition (K-SVD) learning algorithm to carry out learning training onthe training sample set, and constructing an overcomplete dictionary D; (3) utilizing the overcomplete dictionary D to carry out sparse representation on the obtained test sample set to obtain sparsecoefficients; (4) utilizing a sparse representation classifier (SRC) to carry out sparse reconstruction on the sparse coefficients to obtain reconstruction residuals; and (5) categorizing to-be-testedsamples into categories of smallest reconstruction residuals, and thus obtaining diagnosis results of to-be-tested BIT data. The method can highly effectively and accurately diagnose BIT intermittent-faults, has higher diagnosis precision, and decreases a BIT false-alarm rate.

Description

technical field [0001] The invention relates to the technical field of intermittent fault diagnosis based on pattern recognition, in particular to a BIT intermittent fault diagnosis technology based on sparse representation. Background technique [0002] Since the late 1970s, built-in test (BIT) technology has been used as a very practical fault diagnosis technology. Experts and scholars at home and abroad have done a lot of research in theory, and have also made great achievements in practical application. Great results. This technology is now widely used in various industries, especially in aviation systems and weaponry. At present, almost all military and civil aircraft avionics systems and weapons in the United States have BIT. This technology has played an important role in improving system test performance, simplifying maintenance process and reducing maintenance costs. At present, in my country, BIT has also become one of the design and development projects of miss...

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): G06K9/62G06F11/00
CPCG06F11/006G06F18/28G06F18/214
Inventor 屈剑锋柴毅颜新华唐秋贺孝言蔡世豪
Owner CHONGQING UNIV
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