Dissertation > Excellent graduate degree dissertation topics show

The Application Research of Data Mining to Shield Fault Diagnosis

Author: HanChao
Tutor: YuYang
School: Shenyang University of Technology
Course: Detection Technology and Automation
Keywords: Shield Fault Diagnosis Data Mining Neural Network Least-Square
CLC: TP311.13
Type: Master's thesis
Year: 2011
Downloads: 99
Quote: 1
Read: Download Dissertation

Abstract


In recent years, in order to adapt to the needs of urban development and to meet growing travel demand of urban residents. Urban subway continues to accelerate the pace of construction, Shield is one of the special equipment for excavation of subway tunnel, due to the Shield is extra-large, complicated equipment which integrates optical, mechanical, electrical, hydraulic, sensor, information technology, in daily mining often meet some aspects fault of hydraulic and electric control, these fauls not only cause severe economic losses, even cause serious casualties. Therefore, how to timely and effective analysis the causes of the shield fault, and make correct judgment to the future operation conditions, this will have great economic benefits and academic research value.The shield data acquisition system stores large number of data, how to extract useful knowledge from these data is the key to shield fault diagnosis. This thesis introduces data mining technology into the shield fault diagnosis. Using the rough set theory of data mining technology to remove the redundant information which doesn’t work in fault diagnosis decision. Aiming at the faults of traditional attribute reduction method has more repeated attribute. This thesis presents a kind of reduction method that based on attribute importance selection. With the reduction data as neural network’s lead link, using threshold discriminant conditions of neural network algorithm to diagnosis the reduction data, diagnosed the fault reasons and parts.Secondly, because the complex and uncertain behavior when the shield run-time present, single forecasting model is difficult to reflect the real changes of operating state. Therefore this thesis adopts the least-square combine with neural network to the further prediction. The least-square can reflect the trend towards of linear sequence, neural networks could catch the variation of nonlinear time series, complement each other’s advantages. Therefore realize to forecast future health of the shield.Finally, through VS2005 programming realize rough set attribute reduction algorithm,and combine with matlab simulation analysis the feasibility of fault diagnosis,prediction algorithm.

Related Dissertations

  1. Design and Development of Application Programme for Fault Analyzer Based on Wince Platform,TP311.52
  2. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  3. Temperature Drift Modeling and Compensation of Fiber-Optic Gyroscopes,V241.5
  4. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  5. Study on Virtual Detector of Infrared Hyper-Spectral Image,TP391.41
  6. Research of Visual Servoing in 4-DOF Robotic Manipulator,TP242.6
  7. Research on Visual Servo System of Mechanical ARM,TP242.6
  8. Municipal tourism land use planning environmental impact assessment,X820.3
  9. Research on the Inteligent System of High Performance Concrete Mix Design in Zhujiang Triangle Area,TU528
  10. A Study on Healthcare Product Marketing Based on Data Mining Technology,F426.72
  11. Bing- thick academic thought and clinical experience and empirical studies apply to turtle soups treatment of chronic kidney disease,R249.2
  12. Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
  13. The Research of Intangible Cultural Heritage under the Shield Dance of Yunghsin Vision Status and Development Strategies,G852
  14. BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
  15. The Research on Evaluation of Living Status Systems of Expressway Relocated People,D523
  16. Research on Fuzzy C-Mean Clustering Algorithm Based on Particle Swarm Optimization and Shuffled Frog Leaping Algorithm,TP18
  17. Research and Application of Safety Assessment Method Based on Neural Network,X937
  18. The Design of the Coal Mine’s Safety Evaluation System Based on Wavelet Neural Network,TD79
  19. Study of Gray Neural Network Model of Enterprise’s Safety Devotion,X913.4
  20. Research of VRLA Battery On-line Montoring and Contorl System,TP277
  21. Mohist Thought of Military Science,E092

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
© 2012 www.DissertationTopic.Net  Mobile