Dissertation > Excellent graduate degree dissertation topics show

The improved intelligent algorithm - based electric locomotive traction transformer fault diagnosis technology research

Author: ZhuZuoZuo
Tutor: ChenTeFang
School: Central South University
Course: Traffic Information Engineering \u0026 Control
Keywords: Electric locomotive traction transformer Fault Diagnosis Multiresolution analysis wavelet neural network Quantum improved particle swarm optimization
CLC: U269.6
Type: Master's thesis
Year: 2011
Downloads: 64
Quote: 0
Read: Download Dissertation

Abstract


In recent years , China 's railway construction has ushered in a period of rapid development , China already has the world 's largest and highest operating speed of high-speed railway network , railway mileage of the second largest in the world . With the rapid development of China 's railway construction , it is particularly important to protect the transport of railway safety . Traction transformer as trains draw power directly to equipment from the traction power grid , the whole train power source , it is no exaggeration to say that it is the heart of the whole train . Its operating conditions will directly affect the electrified railway system security, efficient operations running in the event of a failure , it will seriously interfere with the production of railway transportation . In this paper, an improved intelligent algorithm to improve traction transformer fault diagnosis efficiency . This article first expounded electric locomotive the traction transformer fault diagnosis significance and the current domestic and international development status . Electric locomotive traction transformer characteristics and structure , a detailed analysis of the type of failure may occur , and the method of extracting characteristic values ??in these failures . In order to further improve the efficiency of the the traction transformer fault diagnosis , a detailed analysis of the BP neural network , RBF neural network , wavelet neural networks and genetic algorithms , particle swarm optimization algorithm strengths and weaknesses , select quantum improved particle swarm optimization algorithm with multiresolution analysis wavelet neural network combination to diagnose to forecast electric locomotive traction transformer fault type . At the end of the experimental test , the the traction transformer 600 sample data are from developed by the Institute in 2006, electric locomotive transformer testing and fault diagnosis system , and placed in the test transformer outlet side casing end screen grounding wire the core grounding line , etc. Rogowski coil data. These samples of four types of neural networks in the text ( including BP neural network , the two wavelet god network and the proposed training and test results prove the diagnostic algorithm of this paper is not only based on improved intelligent algorithm multi - resolution analysis of wavelet neural network ) convergence is fast , stable , and diagnostic accuracy rate is also higher ( 95% ) .

Related Dissertations

  1. Design and Development of Application Programme for Fault Analyzer Based on Wince Platform,TP311.52
  2. Research on the 6-Dof Fault Tolerant Control of the Vibration Isolation Platform with Eight Actuators,TB535.1
  3. Fault Diagnosis Method Based on Support Vector Machine,TP18
  4. Fault Diagnosis Research on Three-Tank System,TP277
  5. Research on the Key Technology of Waterborne Transport Security System,U698
  6. Design and Implementation of the Process Monitoring and Fault Diagnosis for Injection Molding,TQ320.5
  7. Multi-channel Real-time Online Monitoring System for Polymerizers,TP274
  8. The Research and Application of the State Evaluation Method of Power Generation Equipment,TM621.3
  9. Nonlinear System Fault Diagnosis and Reconstruction Based on Sliding Mode Observers,TP13
  10. The Research on Fault Diagnosis System of Car Suspension,U472.9
  11. Development and Experimental Study about Virtual Instruments of Vibration Test and Analysis System and Combustion Analyzer,TK407
  12. Integration of a variety of signal characteristics of analog circuit fault diagnosis,TN710
  13. Design and Research on Numerical Control Simulation Test-bed of Lifting Hydraulic System,TH702
  14. Robust Fault Estimation and Active Fault Tolerant Control for Uncertain System,TP13
  15. Fault Diagnosis on Fuel Control System of a Certain Aero-engine,V263.6
  16. Fault Diagnosis and Tolerance Research for Train Control System and Its Computer Networks,TP393.06
  17. Data Driven Rolling Bearing Fault Diagnosis Research,TH165.3
  18. Remote logging sensor fault diagnosis system,TP212
  19. Study on Health and Usage Monitoring System for Gearbox of Military Helicopter,V275.1
  20. Remote Diagnostic & Monitoring System Design and Development for Testing Prototype Vehicles,U472.9
  21. The overloaded train bearing failure audio signal integrated diagnostic program research,U279

CLC: > Transportation > Rail transport > Locomotive works > Depot, locomotive maintenance and repair > Electric locomotive overhaul
© 2012 www.DissertationTopic.Net  Mobile