TY - GEN
T1 - Process of threshold of fault diagnosis expert system in LAN based on BP neural network
AU - Yang, Xiaoqing
AU - Cai, Tao
AU - Chen, Jie
PY - 2008
Y1 - 2008
N2 - Traditional control system usually uses a single expert system for fault-diagnosis, which is unitary and unable to deal with problems in the complicated and flexible network environment. In this paper, expert system and neural network system are combined for fault detection and diagnosis, which can greatly increase the efficiency and accuracy of network fault diagnosis. The networked control system discussed in the paper have several indices for fault diagnosis, which can be processed as input of BP neural network, and the training result proved to be good.
AB - Traditional control system usually uses a single expert system for fault-diagnosis, which is unitary and unable to deal with problems in the complicated and flexible network environment. In this paper, expert system and neural network system are combined for fault detection and diagnosis, which can greatly increase the efficiency and accuracy of network fault diagnosis. The networked control system discussed in the paper have several indices for fault diagnosis, which can be processed as input of BP neural network, and the training result proved to be good.
KW - BP neural network
KW - Expert system
KW - Network fault diagnosis
UR - https://www.scopus.com/pages/publications/52449092190
U2 - 10.1109/CHICC.2008.4605677
DO - 10.1109/CHICC.2008.4605677
M3 - Conference contribution
AN - SCOPUS:52449092190
SN - 9787900719706
T3 - Proceedings of the 27th Chinese Control Conference, CCC
SP - 466
EP - 468
BT - Proceedings of the 27th Chinese Control Conference, CCC
T2 - 27th Chinese Control Conference, CCC
Y2 - 16 July 2008 through 18 July 2008
ER -