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Research On The Application And Inference Technology Of Hydraulic Excavator's Failure Diagnosis Based On Neural Network

Posted on:2005-12-28Degree:MasterType:Thesis
Country:ChinaCandidate:L LiFull Text:PDF
GTID:2132360125954954Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
Based on the systemic analysis of the configuration of the hydraulic excavator and the whole study of its fault diagnosis, this paper bring forward an on line, distributed fault diagnosis framework model which is based on masters experience and with a neural network as its consequence core. Then the fault diagnosis model is discussed about its feasibility with advanced RAM technique. Through deeply analysis of masters thinking when they check or maintain a set of equipment, faults of an fixture can be located by viable knowledge and heuristic consequence method. They are fit for the neural network exactly. The method can use maters experience adequately, so it can reduce the work of the procedure and enhance the precision and the veracity of the result to great extent. This paper can be divided into five chapters as follows:Chapter 1 summarized the development status of the diagnosis detection technology. Then introduced the composing structure and working principle of hydraulic excavators. At the end, introduced the significance and main content of this paper.Chapter 2 is about dividing a hydraulic excavators in distribute way, and founded a fault model with hiberarchy. According with the comparing and analysis of all kinds of modern fault diagnosis method, technique and their applications, brought forward the whole scheme of diagnosis system.Chapter 3 introduced the neural network model, which is the core of the diagnosis system. It is composed with nerve cell, structure of the network and the study arithmetic. And the definition of the threshold and authority is a important part of the neural network. The process and method to made a neural network is provided also.Chapter 4 expatiated the software flow and flow chart of the expert fault diagnosis system for hydraulic excavator. Pivot on the consequence method, thats integrated with heuristic consequence and neural networkconsequence way.Chapter 5 introduced the characters and applications of ARM technique, it can be adopted in a carry-home fault diagnosis apparatus for hydraulic excavator. Then research flat roof - Embest IDE for ARM is introduced in brief. At last, brought the hardware design of this apparatus and made some feasible discuss.Chapter 6 is an ending part. It summarized some innovative features in this papers, and the accomplished parts of this project. Then mentioned some advices and assumptions about the next step of the project.
Keywords/Search Tags:Hydraulic Excavator, Fault Diagnosis, Distributed, Neural Network
PDF Full Text Request
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