摘  要：根據(jù)人工神經(jīng)網(wǎng)絡(luò)的基本理論，建立了真空樹脂灌注機(jī)的故障診斷數(shù)學(xué)模型，將可以用不同傳感器檢測到的各種工作參數(shù)和灌注機(jī)的實(shí)際工作狀態(tài)聯(lián)系起來，對真空樹脂灌注機(jī)的工作狀態(tài)進(jìn)行識別，并對其故障進(jìn)行具體診斷。 Abstract: According to the basic theory of artificial neural networks, the establishment of a mathematical model of fault diagnosis vacuum resin infusion machine, the actual working conditions of different sensors can be used to detect various operating parameters and perfusion machine[登陸后可查看全文]