NDLI: Research on high-speed fuzzy reasoning with FPGA for fault diagnosis expert system

Content Provider	IEEE Xplore Digital Library
Author	Jingyan Xue Laijun Sun Mingliang Liu Changming Qiao Guangzhong Ye
Copyright Year	2009
Description	Author affiliation: HLJ Province Key Lab of Senior-Education for Electronic Engineering (Heilongjiang University) Harbin 150080, China (Jingyan Xue; Laijun Sun; Mingliang Liu; Changming Qiao; Guangzhong Ye)
Abstract	As an effective method for diagnosis reasoning, fuzzy reasoning is hard to meet the real-time challenge for its complex process and time-consuming. Traditionally, using software to implement fuzzy reasoning need to consume much more time, so a new method to design expert system fuzzy reasoning with FPGA for fault diagnosis is presented in this paper. In the new method, fuzzy operating is realized by function transform with ROM, and FPGA provides logic control and process coordination for fuzzy reasoning. The whole fuzzy reasoning is finished with hardware instead of software. Many experiments indicate that the speed of fuzzy reasoning with this method is faster than traditional modes, and it can be applicable to many on-line diagnosis systems based on single-chip controller or DSP (Digital Signal Processor).
Starting Page	3005
Ending Page	3009
File Size	4129559
Page Count	5
File Format	PDF
ISBN	9781424426928
DOI	10.1109/ICMA.2009.5245988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy reasoning Field programmable gate arrays Fault diagnosis Diagnostic expert systems Fuzzy logic Design methodology Fuzzy control Read only memory Process control Hardware Expert System FPGA Fault Diagnosis Fuzzy Reasoning
Content Type	Text
Resource Type	Article

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