Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

LED automotive lamp failure positioning detection method based on binomial tree model

A technology for failure location and automotive lamps, which is applied in the field of detecting the failure position of LED automotive lamps, can solve the problems of complex failure factors and detection, and achieve the effects of improving reliability, high positioning accuracy, and easy implementation

Active Publication Date: 2015-07-15
江苏中服服装产业发展有限公司
View PDF9 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a LED automotive lamp failure location detection method based on a binary tree model to solve the problem that the failure factors are complex in the failure evaluation process of the existing automobile lamp products, and the specific failure position cannot be detected for the complex combination of automobiles. , can improve the speed of failure analysis, can quickly find the location of product failure, and has high detection efficiency

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
  • LED automotive lamp failure positioning detection method based on binomial tree model
  • LED automotive lamp failure positioning detection method based on binomial tree model
  • LED automotive lamp failure positioning detection method based on binomial tree model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0024] see figure 1 The realization flow chart of the present invention shown, the present invention first decomposes the structure of the LED automobile lamp model, and then constructs the binary tree structure, stores the initial information and the failure data packet of the automobile lamp model, and then traverses the binary tree in a subsequent order, and stores the The initial information of the binary tree is compared with the currently analyzed data to determine whether the current analyzed data is consistent with the initial information, and finally determine the position and type of failure of the sample, and com...

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 LED automotive lamp failure positioning detection method based on a binomial tree model. According to the method, an LED lamp model is subjected to structural decomposition, a binomial tree structure is established, initial information and a failure data packet of the automotive lamp model are stored, postorder traversal of the binary tree is performed, initial information stored in the binary tree and currently analyzed data are compared, whether the currently analyzed data conform to the initial information is judged, the failure position and the failure type of a sample are determined finally, and failure positioning detection is completed. The method is easy to implement, the classifying speed is high, the classifying accuracy is higher than that of a conventional failure analysis method, and the method can be applied to independent or combined automotive lamp failure positioning detection.

Description

technical field [0001] The invention belongs to the technical field of detection of LED automobile lamps, in particular to a method for detecting failure positions of LED automobile lamps. Background technique [0002] Automobile lighting is a part of automobile products, responsible for the role of automobile lighting and indicator signals. Automotive lighting is an important part of automotive active safety, so the location detection of product failure modes is a prerequisite for new product design. According to literature records, the most prominent problems that cause lamp failure are three failure modes: bulb damage, lamp water ingress and lamp structural strength damage. Faced with a large variety of lighting products, finding a suitable model to study the failure location and failure mode of the product has become an urgent problem to be solved. [0003] At present, for the failure problem of LED automotive lamps, the patent document of Chinese Patent Application No...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/44
Inventor 杨平虞莉佳刘东静
Owner 江苏中服服装产业发展有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products