DocumentCode
3358795
Title
Research on high-speed fuzzy reasoning with FPGA for fault diagnosis expert system
Author
Xue, Jingyan ; Sun, Laijun ; Liu, Mingliang ; Qiao, Changming ; Ye, Guangzhong
Author_Institution
HLJ Province Key Lab. of Senior-Educ. for Electron. Eng., Heilongjiang Univ., Harbin, China
fYear
2009
fDate
9-12 Aug. 2009
Firstpage
3005
Lastpage
3009
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).
Keywords
diagnostic expert systems; electronic engineering computing; fault diagnosis; field programmable gate arrays; fuzzy reasoning; logic design; FPGA; ROM; diagnosis reasoning; expert system fuzzy reasoning; fault diagnosis expert system; high-speed fuzzy reasoning; logic control; Design methodology; Diagnostic expert systems; Fault diagnosis; Field programmable gate arrays; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Hardware; Process control; Read only memory; Expert System; FPGA; Fault Diagnosis; Fuzzy Reasoning;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-2692-8
Electronic_ISBN
978-1-4244-2693-5
Type
conf
DOI
10.1109/ICMA.2009.5245988
Filename
5245988
Link To Document