TY - GEN
T1 - Intelligent diagnosis system for transmission line
T2 - 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
AU - Sung, Hwa Chang
AU - Park, Jin Bae
AU - Joo, Young Hoon
PY - 2009
Y1 - 2009
N2 - We develop an intelligent diagnosis system which is based on fuzzy-classifier. The term of intelligent diagnosis system (IDS) is a real-time fault monitoring system for transmission line. Based on the Time-Frequency Domain Reflectometry (TFDR) algorithm, we implement the wire detecting system which shows the condition of the wires. The concrete processes are represented as follows: 1) the reflected signals which are sent from the fault of wires are obtained and saved in main server; 2) IDS classifies the fault type of the wires into damage and normal. For classifying the fault type efficiently, we use the fuzzy-Bayesian classifier which is merged the IF-THEN rules with Bayesian algorithms. Simulation results convincingly validate the effectiveness of our algorithms.
AB - We develop an intelligent diagnosis system which is based on fuzzy-classifier. The term of intelligent diagnosis system (IDS) is a real-time fault monitoring system for transmission line. Based on the Time-Frequency Domain Reflectometry (TFDR) algorithm, we implement the wire detecting system which shows the condition of the wires. The concrete processes are represented as follows: 1) the reflected signals which are sent from the fault of wires are obtained and saved in main server; 2) IDS classifies the fault type of the wires into damage and normal. For classifying the fault type efficiently, we use the fuzzy-Bayesian classifier which is merged the IF-THEN rules with Bayesian algorithms. Simulation results convincingly validate the effectiveness of our algorithms.
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M3 - Conference contribution
AN - SCOPUS:78149347731
SN - 9784990288037
T3 - Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
SP - 136
EP - 139
BT - Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
Y2 - 5 February 2008 through 7 February 2009
ER -