Dissertation > Excellent graduate degree dissertation topics show

Research on Intelligent Diagnosis Technology of Transformer Fault Based on the TrueGas

Author: WangPing
Tutor: KangZhongJian
School: China University of Petroleum
Course: Detection Technology and Automation
Keywords: power transformer fault diagnosis Elman network genetic algorithm optimization
CLC: TM407
Type: Master's thesis
Year: 2009
Downloads: 61
Quote: 2
Read: Download Dissertation

Abstract


Large power transformer is one of the essential equipments in power system, and its operation state can affect the safety of power system directly. It will cause serious harm to power system and terminal users once there are any faults. Therefore, the fault diagnosis technology of power transformer has important realistic significance.Analysis of fault gas in transformer oil is the effective analysis method of fault diagnosis of transformer. Improved three-ratio method plays an important role in transformer fault diagnosis, but the comprehensive faults can not be detected accurately. The neural network has advantages in the parallel distributed processing, adaptive, associative memory, clustering, fault tolerance and so on. It is fit to judge the happening and development of the transformer inner malfunction and distinguish the multi-malfunction mode. Elman neural network has dynamic information processing capability and its network configuration is simple. But the network convergence speed is slow and convergence accuracy is not ideal. Genetic algorithm has ability of global optimization and improving network convergence speed and accuracy of training. By using the genetic algorithm optimization which optimizes weights and threshold values of Elman neural network, the training speed and precision can be improved, and also the accuracy of fault diagnosis.This paper builds a 5-13-7 neutral network model with the relation between the malfunction gas and the malfunction kind in the transformer. An optimization algorithm, using genetic algorithm to optimize weights and threshold values of neural network, is proposed. Compared with improved three-ratio method and typical Elman neural network, training and diagnosis results show that convergence speed and diagnosis accuracy has improved greatly after the neural network is optimized. After optimized, the accuracy of malfunction diagnosis is nearly 95% and reliability and accuracy of diagnosis is improved greatly, which shows the superiority of genetic algorithm optimization. Software analysis interface of system is programmed by Visual C++. By reading the file, fault gas concentration is real-timely displayed. According to the gas concentration, the value of three-ratio-code is calculated, and system operation is analyzed based on neural network. By calling the database query function, history data can be gotten. With all the operations above, diagnosis is visualization and simplification.

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. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  4. Investigation of Turbine S2 Stream Surface Direct Problem Aerodynamic Optimization Design,V235.11
  5. Reseach on Optimal Control of Elevator Group Based upon Ant Colony Algorithm,TU857
  6. Research on High Efficiency Interior Permanent Magnet Synchronous Motor,TM341
  7. Application of Interior-Point Theory for Reactive Power Optimization in Large Power Systems,TM714.3
  8. The Basic Research of Axial Flux Inductor Type High Temperature Superconducting Motor,TM37
  9. The Optimization of AVS Video Decoder on the PC Platform and Improvement of Field Decoding,TN919.81
  10. Research on Stability of Hierarchical Sattellite Network,TN927.23
  11. Query Processing and Optimization in Massive Multi-Database Integration,TP311.13
  12. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  13. Fault Diagnosis Method Based on Support Vector Machine,TP18
  14. Fault Diagnosis Research on Three-Tank System,TP277
  15. Studies on Fermentation Optimization, Purification and Enzyme Characteristics of Lipase from Aspergillus Oryzae FS-1,TQ925.6
  16. Large the Hongshan iron ore mine personnel tracking positioning system optimization study,TN929.5
  17. Computing Minimum Distance between Curves/Surfaces Based on PSO Algorithm,O182
  18. Analysis of Nutritional Compositions and Quality of Shishen (Eremurus Chinensis Fedtsch.),S647
  19. The Application of Fuzzy Comprehensive Evaluation Based on Genetic Algorithm in Vocational Evaluation of Classroom Teaching,G712
  20. 1 - deoxynojirimycin synthetic route design and process optimization,TQ463.5
  21. Optimization of Fermentation Conditions, Purification, Cloning and Expression of a Cold-active Lipase from Pseudomonas Sp.RT-1,TQ925

CLC: > Industrial Technology > Electrotechnical > Transformers, converters and reactors > General issues > Maintenance,repair
© 2012 www.DissertationTopic.Net  Mobile