Fault Diagnosis of General Turret Electrically Controlled System Based on Fuzzy Neutral Network Optimized by Genetic Algorithm

摘要：

After the fault character parameter of electrically control system was fuzzy processed as the learning swatch of neural network, the paper search ther network weights and threshold as the initial weights and initial threshold using 3-layer fuzzy neutral network with the training function of the gradient descent algorithm taking momentum optimized by genetic algorithm, classify the fault pattern of electrically control system using fuzzy algorithm, reform the astringency of diagnosis model. The diagnosis result is exact and credible. The network model optimized by genetic algorithm has preferable robustness and fault tolerant ability.

关键词： Electrically Controlled System Fault Diagnosis Neutral Network Genetic Algorithm

作者: Su Zhongting Wang Wei Zhang Chunlin Jiang Wenhe

作者单位: Academy of Armored Force Engineering,Beijing 100072,China Beijing Special Vehicle Institute,Beijing 100072,China Military Deputy Office of PLA in 5413 Factory,Shijiazhuang 050031,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 1375-1378

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）