基于并行禁忌神經(jīng)網(wǎng)絡(luò )和DS證據的飛機燃油系統故障診斷

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基于并行禁忌神經(jīng)網(wǎng)絡(luò )和DS證據的飛機燃油系統故障診斷
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作者單位:(1.樂(lè )山師范學(xué)院 物理與電子工程學(xué)院,四川 樂(lè )山 614004; ;2.中國民航飛行學(xué)院 航空安全保衛學(xué)院,四川 廣漢 618307)
作者簡(jiǎn)介:祝加雄(1982-),男,四川樂(lè )山人,講師,碩士,主要從事模式識別與智能系統方向的研究。[FQ)]
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中圖分類(lèi)號:TP319
基金項目:國家自然科學(xué)基金項目(61079022)。

Fault Diagnosis for Aircraft Fuel System Based on Parallel Tabu Neural Network and D-S Evidence Theory

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(1. School of Physics and Electronic Engineering, Leshan Normal University, Leshan 614004, China;2.School of Aviation Security, Civil Aviation Flight University of China, Guanghan 618307, China)

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摘要:

飛機燃油系統是一個(gè)由許多相互聯(lián)系的子系統構成的復雜總體,因而易于發(fā)生各類(lèi)故障,當故障發(fā)生時(shí)會(huì )造成嚴重影響,為此,設計了一種基于禁忌神經(jīng)網(wǎng)絡(luò )和DS證據的飛機燃油系統故障診斷方法;首先,建立了飛機燃油系統的故障診斷模型,然后,建立了3層的BP神經(jīng)網(wǎng)絡(luò )故障診斷模型,并采用禁忌優(yōu)化算法對BP神經(jīng)網(wǎng)絡(luò )進(jìn)行參數優(yōu)化,得到多個(gè)并行診斷的禁忌神經(jīng)網(wǎng)絡(luò ),輸入樣本數據對其訓練并利用BP反向傳播算法再次調優(yōu)；最后將測試樣本數據輸入各禁忌神經(jīng)網(wǎng)絡(luò ),并將診斷結果作為證據采用DS證據理論進(jìn)行融合,得到最終的故障診斷結果;實(shí)驗結果表明:引入DS證據理論的故障診斷方法能有效克服單一故障診斷方法無(wú)法精確診斷故障的不足,診斷精度高,具有較大的優(yōu)越性。

Abstract:

Aircraft Fuel System is a compound system with many interconnecting sub-systems and easy emerging many kinds of faults, when the fault happening, a fault diagnosis model based on Tabu neural network and D-S evidence is proposed. Firstly, the model of diagnosis for aircraft fuel system is built, and the tabu algorism is used to optimize the parameters of the neural network and get concurrent tabu neural networks, the training sample data is input to the tabu neural networks to train them and the BP back propagation algorism is used to adjust the parameters of the network, finally, the test sample data is input to all the tabu neural networks to diagnose and the result is got as the evidence, then the DS evidence theory is used to fuse the data to get the final diagnosis result. The simulation experiment shows the method in this paper solve the problems of diagnose the fault accurately for single diagnosis method, has the high diagnosis accuracy, so it has big priority.

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祝加雄,賀元驊.基于并行禁忌神經(jīng)網(wǎng)絡(luò )和DS證據的飛機燃油系統故障診斷計算機測量與控制[J].,2014,22(6):1687-1689,1692.

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收稿日期:2014-03-04
最后修改日期:2014-04-26
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在線(xiàn)發(fā)布日期: 2014-11-12
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