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Hydraulic Pump Based on Neural Network Fault Diagnosis System
Author: ZhangMingXia
Tutor: ZhangYuanShen
School: Lanzhou University of Technology
Course: Mechanical and Electronic Engineering
Keywords: Pump Neural Network Troubleshooting BP Network VC
CLC: TH137.51
Type: Master's thesis
Year: 2005
Downloads: 359
Quote: 7
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Abstract
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With the hydraulic system to fast , high-power , high-precision direction, hydraulic systems and capabilities of the device increases , the structure becomes more complex, performance requirements are also increasing, work intensity increases, the corresponding increase in hydraulic the possibility of system failure . Hydraulic pump hydraulic system is the core of the whole system , it is the power source for the entire hydraulic system , the entire system a decisive impact on the hydraulic pump will directly affect the performance of other components of the entire system life and system uptime , therefore , pump fault diagnosis method for research and development of modern industrial production has a very important significance. In this paper, a hydraulic pump fault diagnosis method based on neural network research , the analysis of the hydraulic pump failure mechanisms and fault diagnosis method based on the proposed using BP algorithm based on neural network fault diagnosis method to diagnose hydraulic pump , identified for hydraulic pump fault diagnosis neural network structure, learning samples and the various parameters and thus train the neural network . In this paper, VC 6.0 development of the hydraulic pump fault diagnosis system, in the system to achieve a neural network learning and neural network diagnostic two functional modules. Proposed neural network based on the forward , reverse and mixed three -way reasoning mechanism for users in the diagnostic process according to the actual need to select a specific way of reasoning . Design and implementation of the system are such that for pump fault diagnosis is very effective, it is also very convenient concrete realization .
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CLC: > Industrial Technology > Machinery and Instrument Industry > Mechanical parts and gear > Hydraulic transmission > Hydraulic components > Hydraulic motors,hydraulic cylinders and pumps
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