Name
Title | ||
|---|---|---|
Research on Expert Knowledge Base of Intelligent Diagnosis Based on Tubing Leakage of High-Pressure Heater in Nuclear Power Plant. |
Abstract | ||
|---|---|---|
In order to improve the accuracy and timeliness of the tubing leakage of the high-pressure heater in the nuclear power plant, the fault diagnosis is carried out with the terminal difference triggered by the heat economy of the unit. Through the mechanism modeling of the tubing leakage of the high-pressure heater, the set of the symptom parameters related to the fault are obtained. The expert knowledge base of the tubing leakage in fault diagnosis system of the high-pressure heater is analyzed by using the mathematical statistics and the experience of the on-site experts. Through the insert of man-made fault in the 1000 MW nuclear power model, the intelligent diagnosis expert system is used to fault diagnosis. The results show that the method can accurately diagnose the tubing leakage of the high-pressure heater by analyzing the monitoring parameters at the beginning of the fault, and prove the validity and feasibility of the knowledge base. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-981-10-6364-0_19 | ADVANCED COMPUTATIONAL METHODS IN ENERGY, POWER, ELECTRIC VEHICLES, AND THEIR INTEGRATION, LSMS 2017, PT 3 |
Keywords | DocType | Volume |
The tubing leakage of high-pressure heater,Model of failure mechanism,Mathematical statistics,Fault diagnosis,Knowledge base | Conference | 763 |
ISSN | Citations | PageRank |
1865-0929 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miao Zheng | 1 | 0 | 0.68 |
| Hong Qian | 2 | 9 | 6.22 |
| Siyun Lin | 3 | 0 | 0.68 |
| Bole Xiao | 4 | 0 | 0.34 |
| Xiaoping Chu | 5 | 0 | 0.34 |