DocumentCode
3298724
Title
Notice of Retraction
The study of expert system in rolling bearing faults diagnosis
Author
Xu Tongle ; Pei Xincai ; Wei Xiuting
Author_Institution
Mech. Eng. Sch., Shandong Univ. of Technol., Zibo, China
fYear
2010
fDate
25-27 June 2010
Firstpage
338
Lastpage
341
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, rolling bearing fault is diagnosed by using of expert system. Failure phenomenon and causes of the relevant faults are entered into the knowledge base, which have been gotten from the experienced maintenance staff by seeing, hearing, touching and measuring. Meantime, the knowledge base and inference engine have been written basing on the expert system which only provides the text environment. But it have unfriendly human-computer interface and lacks the ability to develop human-computer interface. VC++ is adopted and make up the deficiency by CLIPS dynamic linking to the VC++. The combination of software can scheme out efficient operation and friendly human-computer interaction expert system. Rolling element bearing fault can be fast find out and exclude, the efficiency of the expert system is greatly enhanced.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, rolling bearing fault is diagnosed by using of expert system. Failure phenomenon and causes of the relevant faults are entered into the knowledge base, which have been gotten from the experienced maintenance staff by seeing, hearing, touching and measuring. Meantime, the knowledge base and inference engine have been written basing on the expert system which only provides the text environment. But it have unfriendly human-computer interface and lacks the ability to develop human-computer interface. VC++ is adopted and make up the deficiency by CLIPS dynamic linking to the VC++. The combination of software can scheme out efficient operation and friendly human-computer interaction expert system. Rolling element bearing fault can be fast find out and exclude, the efficiency of the expert system is greatly enhanced.
Keywords
C++ language; expert systems; fault diagnosis; human computer interaction; inference mechanisms; maintenance engineering; mechanical engineering computing; rolling bearings; CLIPS dynamic linking; VC++; expert system; failure phenomenon; human-computer interface; inference engine; rolling bearing faults diagnosis; Diagnostic expert systems; Educational technology; Engines; Expert systems; Fault diagnosis; Fault trees; Joining processes; Machinery; Rolling bearings; Shafts; VC++; expert system; faults diagnosis; rolling bearing;
fLanguage
English
Publisher
ieee
Conference_Titel
Educational and Network Technology (ICENT), 2010 International Conference on
Conference_Location
Qinhuangdao
Print_ISBN
978-1-4244-7660-2
Type
conf
DOI
10.1109/ICENT.2010.5532152
Filename
5532152
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