| NOISE IDENTIFICATION FOR HYDRAULIC AXIAL PISTON PUMP BASED ON ARTIFICIAL NEURAL NETWORKS |
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| 作者姓名： | YANG Jian College of Urban Railway Transportation Shanghai University of Engineering Science Shanghai China XU Bing YANG Huayong State Key Laboratory of Fluid Power Transmission and Control Zhejiang University Hangzhou China |
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| 作者单位： | YANG Jian College of Urban Railway Transportation，Shanghai University of Engineering Science，Shanghai 201620，China XU Bing YANG Huayong State Key Laboratory of Fluid Power Transmission and Control，Zhejiang University，Hangzhou 310027，China |
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| 摘 要： | The noise identification model of the neural networks is established for the 63SCY14-1B hydraulic axial piston pump. Taking four kinds of different port plates as instances, the noise identification is successfully carried out for hydraulic axial piston pump based on experiments with the MATLAB and the toolbox of neural networks. The operating pressure, the flow rate of hydraulic axial piston pump, the temperature of hydraulic oil, and bulk modulus of hydraulic oil are the main parameters having influences on the noise of hydraulic axial piston pump. These four parameters are used as inputs of neural networks, and experimental data of the noise are used as outputs of neural networks. Error of noise identification is less than 1% after the neural networks have been trained. The results show that the noise identification of hydraulic axial piston pump is feasible and reliable by using artificial neural networks. The method of noise identification with neural networks is also creative one of noise theoretical research for hydraulic axial piston pump.
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| 关 键 词： | 活塞泵 人工神经网络 水压系统 MATLAB 噪声识别 |
NOISE IDENTIFICATION FOR HYDRAULIC AXIAL PISTON PUMP BASED ON ARTIFICIAL NEURAL NETWORKS |
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| YANG Jian College of Urban Railway Transportation,Shanghai University of Engineering Science,Shanghai ,China XU Bing YANG Huayong State Key Laboratory of Fluid Power Transmission and Control,Zhejiang University,Hangzhou ,China.NOISE IDENTIFICATION FOR HYDRAULIC AXIAL PISTON PUMP BASED ON ARTIFICIAL NEURAL NETWORKS[J].Chinese Journal of Mechanical Engineering,2006,19(1):120-123. |
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| Authors: | YANG Jian XU Bing YANG Huayong |
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| Affiliation: | [1]College of Urban Railway Transportation, Shanghai University of Engineering Science,Shanghai 201620, China [2]State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | The noise identification model of the neural networks is established for the 63SCY14-1B hydraulic axial piston pump. Taking four kinds of different port plates as instances, the noise identification is successfully carried out for hydraulic axial piston pump based on experiments with the MATLAB and the toolbox of neural networks. The operating pressure, the flow rate of hydraulic axial piston pump, the temperature of hydraulic oil, and bulk modulus of hydraulic oil are the main parameters having influences on the noise of hydraulic axial piston pump. These four parameters are used as inputs of neural networks, and experimental data of the noise are used as outputs of neural networks. Error of noise identification is less than 1% after the neural networks have been trained. The results show that the noise identification of hydraulic axial piston pump is feasible and reliable by using artificial neural networks. The method of noise identification with neural networks is also creative one of noise theoretical research for hydraulic axial piston pump. |
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| Keywords: | Hydraulic axial piston pump Neural networks Noise Identification MATLAB |
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