TY - GEN
T1 - Design and application of integrated diagnosis inference system
AU - Xu, Bo
AU - Feng, Wei
AU - Yu, Jinsong
PY - 2013
Y1 - 2013
N2 - This paper proposes a new integrated diagnosis inference system based on the framework of C Language Integrated Production (CLIPS) and Bayesian networks (BNs). Utilizing the fault modeling, model verification, model analysis, model conversion and knowledge base generation, this system deals with the conversion from the fault flow diagram to knowledge base, the fault tree to BNs, simplifies the method for knowledge base construction and fault modeling, and enhances the methods to obtain the knowledge for intelligence fault diagnosis system.
AB - This paper proposes a new integrated diagnosis inference system based on the framework of C Language Integrated Production (CLIPS) and Bayesian networks (BNs). Utilizing the fault modeling, model verification, model analysis, model conversion and knowledge base generation, this system deals with the conversion from the fault flow diagram to knowledge base, the fault tree to BNs, simplifies the method for knowledge base construction and fault modeling, and enhances the methods to obtain the knowledge for intelligence fault diagnosis system.
KW - Diagnosis inference
KW - Integrated system
UR - https://www.scopus.com/pages/publications/84872929995
U2 - 10.4028/www.scientific.net/AMM.241-244.308
DO - 10.4028/www.scientific.net/AMM.241-244.308
M3 - 会议稿件
AN - SCOPUS:84872929995
SN - 9783037855461
T3 - Applied Mechanics and Materials
SP - 308
EP - 312
BT - Industrial Instrumentation and Control Systems
T2 - 2012 International Conference on Measurement, Instrumentation and Automation, ICMIA 2012
Y2 - 15 September 2012 through 16 September 2012
ER -