Title :
Fault diagnosis for fans of coal based on CBR hybrid threshold method
Author :
Li Meng ; Wu Xin
Author_Institution :
Luoyang Sci. & Technol. Inst., Luoyang, China
Abstract :
In order to improve the fault diagnosis accuracy for fan of coal to establish the case base of fans fault and diagnosis parameter, based on CBR, the case reasoning method to make the diagnosis for the fans. Case searching, matching and reusing used by the static confidence thresholds and dynamic confidence thresholds comprehensive judgment method; improve the applicability of the fault diagnosis system.
Keywords :
case-based reasoning; coal; fault diagnosis; CBR; case-based reasoning; coal; comprehensive judgment method; fault diagnosis; hybrid threshold method; Accuracy; Cognition; Fans; Fault diagnosis; Maintenance engineering; Petroleum; Vibrations; Case Reasoning; Fans of Coal; Fault;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569655
