以故障診斷理論和方法為基礎(chǔ)，綜合運用人工智能、模糊理論和神經(jīng)網(wǎng)絡(luò)理論，對雷達印制板故障智能診斷問題進行了研究，給出了模糊神經(jīng)網(wǎng)絡(luò)故障智能診斷系統(tǒng)的實現(xiàn)過程。仿真結(jié)果表明，該方法是一種行之有效的故障智能診斷方法，為雷達印制板的故障診斷提供了一條新的途徑．
關(guān)鍵詞: 模糊數(shù)學(xué)； 神經(jīng)網(wǎng)絡(luò)； 故障診斷； 仿真
Abstract：On the basis of fault diagnosis theory and method, this paper synthetically uses the artificial intelligence, fuzzy theory and neural network theory to study the fault intelligent diagnosis problem of Radar Printed Plates, and the fault intelligent diagnosis system of the fuzzy neural network is provided in detail.The simulation results show that this is an effective method of the fault intelligent diagnosis,and a new approach for the fault diagnosis of Radar Printed Plates t is provided.
Key Words: Fuzzy mathematics; Neural network; Fault diagnosis; Simulation