核电站高压加热器管系泄漏智能诊断专家知识库的研究
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摘要
为提高核电站高压加热器管系泄漏故障诊断的准确性和及时性,运用与机组热经济性密切相关的端差触发故障诊断。通过对高压加热器管系泄漏故障进行机理建模,得到与故障相关的征兆参数集;运用数理统计结合现场专家经验,完善对核电站高压加热器管系泄漏故障诊断专家知识库的构建。通过在1000 MW核电模型中人为引入管系泄漏故障,利用基于端差触发的核电站智能诊断专家系统进行故障诊断。结果表明,该方法在故障发生的初期即可对小程度的高压加热器管系泄漏进行准确诊断,证明此知识库的有效性和可行性。
In order to improve the accuracy and timeliness of the tubing leakage of the high-pressure heater in nuclear power plants, 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 is obtained. The expert knowledge base of the tubing leakage in the 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 of nuclear power plant based on terminal difference is used to fault diagnosis. The results show that the method can accurately diagnose the tubing leakage of the high-pressure heater at the beginning of the fault, which proves the validity and feasibility of the knowledge base.
In order to improve the accuracy and timeliness of the tubing leakage of the high-pressure heater in nuclear power plants, 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 is obtained. The expert knowledge base of the tubing leakage in the 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 of nuclear power plant based on terminal difference is used to fault diagnosis. The results show that the method can accurately diagnose the tubing leakage of the high-pressure heater at the beginning of the fault, which proves the validity and feasibility of the knowledge base.
引文
[1]马良玉,马杏斋,冯志杰,等.基于径向基概率神经网络的高压加热器故障诊断[J].华北电力大学学报自然科学版,2007,34(5):81-84.
[2]梁娜,丁常富,丁振宇.基于概率神经网络的高压加热器故障诊断及仿真[J].发电设备,2010,24(2):97-100.
[3]丁常富,代志纲,田松峰,等.采用模糊聚类分析和BP网络相结合的高压加热器故障诊断[J].发电设备,2007,21(1):60-63.
[4]王晓霞,马良玉,祁在山.基于粒子群和最近邻的热力系统变工况动态过程故障诊断方法[J].动力工程学报,2014,34(6):469-476.
[5]牛相山,巩春莲.浅谈高压加热器管系冲蚀泄漏原因及对策[J].电站系统工程,2003,19(3):35-36.
[6]钱虹,骆建波,金蔚霄,等.报警触发式蒸汽发生器传热管破裂事故诊断系统的研究[J].核动力工程,2015,36(1):98-103.
[7]骆建波.核电站报警触发式智能诊断专家系统的研究[D].上海电力学院,2015.
[2]梁娜,丁常富,丁振宇.基于概率神经网络的高压加热器故障诊断及仿真[J].发电设备,2010,24(2):97-100.
[3]丁常富,代志纲,田松峰,等.采用模糊聚类分析和BP网络相结合的高压加热器故障诊断[J].发电设备,2007,21(1):60-63.
[4]王晓霞,马良玉,祁在山.基于粒子群和最近邻的热力系统变工况动态过程故障诊断方法[J].动力工程学报,2014,34(6):469-476.
[5]牛相山,巩春莲.浅谈高压加热器管系冲蚀泄漏原因及对策[J].电站系统工程,2003,19(3):35-36.
[6]钱虹,骆建波,金蔚霄,等.报警触发式蒸汽发生器传热管破裂事故诊断系统的研究[J].核动力工程,2015,36(1):98-103.
[7]骆建波.核电站报警触发式智能诊断专家系统的研究[D].上海电力学院,2015.