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FPGA (filed programmable gate array) fault automatic diagnosing method based on knowledge database

An automatic diagnosis and knowledge base technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of low knowledge stock, inaccuracy, and difficulty in obtaining personal experience, and achieve high similarity and easy expansion. Effect

Inactive Publication Date: 2013-12-25
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Personal experience is not only difficult to obtain and the stock of knowledge is small, but also has the problem of inaccuracy or even inaccuracy

Method used

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  • FPGA (filed programmable gate array) fault automatic diagnosing method based on knowledge database
  • FPGA (filed programmable gate array) fault automatic diagnosing method based on knowledge database
  • FPGA (filed programmable gate array) fault automatic diagnosing method based on knowledge database

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Embodiment Construction

[0024] Such as figure 1 Shown, the FPGA fault automatic diagnosis method based on knowledge base of the present invention comprises the steps:

[0025] 1. Obtain FPGA fault information through data mining, manual collection, etc., and format the fault information into a unified format, including the fault occurrence process (design, simulation verification, etc.), fault performance status (chip model, input and output, waveform Figures, etc.), fault solutions, etc., as the information source of the fault knowledge base to establish a fault knowledge base.

[0026] Existing technical solutions to FPGA faults are generally solved by asking professionals and personal experience. Personal experience is not only difficult to obtain and has a small stock of knowledge, but also has the problem of imprecise or even inaccurate. The established fault knowledge base specifically includes the following contents:

[0027] a. Device selection;

[0028] b. Timing design;

[0029] c. Con...

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Abstract

The invention discloses an FPGA (filed programmable gate array) fault automatic diagnosing method based on a knowledge database. The method includes: structuralizing fault information during storage FPGA design and verification; performing fault search according to feature information a new fault case, matching most related and similar fault information according to information such as fault generation and fault feature, and displaying detailed contents and fault solutions to solve the new fault. Acquired fault experience and methods during FPGA design verification are used to build a knowledge database system, detailed fault information and solutions are displayed visually, faults can be positioned accurately, conveniently and fast, and fault debugging and solving efficiency of FPGA design verification staff is increased greatly.

Description

technical field [0001] The present invention relates to a knowledge base-based FPGA fault automatic diagnosis method, in particular to a knowledge base-based FPGA fault automatic diagnosis method that utilizes formatted FPGA fault knowledge and uses a similarity detection method to automatically match all possible fault information for users. diagnosis method. Background technique [0002] Field Programmable Gate Array (Field Programmable Gate Array) is a field programmable ASIC. As a new type of programmable device that combines the general structure of the gate array with the field programmable characteristics of programmable logic devices, FPGA has many Advantages have been developed very rapidly. However, with the continuous expansion of FPGA scale and integration, FPGA product designers and verification personnel, especially inexperienced personnel, are particularly prone to make mistakes in the development process, and in view of the difference between the FPGA design...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 蔡铭赵旭林
Owner ZHEJIANG UNIV
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