Dissertation > Excellent graduate degree dissertation topics show

HMM-based hybrid model with AIS nuclear power equipment fault diagnosis system development

Author: ChenLiPing
Tutor: ZuoLi;GeYuHua
School: University of Electronic Science and Technology
Course: Software Engineering
Keywords: Nuclear Power Equipment Hidden Markov model (HMM) Artificial Immune System (AIS) Fault Diagnosis System
CLC: TP277
Type: Master's thesis
Year: 2009
Downloads: 98
Quote: 0
Read: Download Dissertation

Abstract


In this paper, based on national defense scientific research \and other characteristics , the introduction of hidden Markov models and artificial immune system as a basic modeling and identification tools, integrated the advantages of both , for nuclear power equipment condition monitoring and fault diagnosis , application Visual C development of the corresponding nuclear power equipment fault diagnosis system . Late in the development of a large number of experiments verify the effectiveness of the system , robustness and forecasting in real time. The main contents are as follows : The first chapter introduces the research background and nuclear equipment fault diagnosis significance of nuclear power equipment fault diagnosis technology research status summary paper introduces the characteristics and innovation ; Finally, the main contents of this paper , and gives the overall framework of the paper . The second chapter the basic theory of HMM and AIS made ??a presentation highlighting HMM and AIS several basic algorithms. Studied the HMM and AIS equipment fault diagnosis in nuclear power applications , and presents an improved AIS algorithms. The third chapter describes the AIS HMM-based and nuclear power equipment fault diagnosis system architecture , based on the application of Visual C developed a hybrid model based on HMM with AIS nuclear power equipment fault diagnosis system, and the system software structure and function modules , and software design of some key technologies are described. Chapter IV developed through experiments based on HMM with the AIS nuclear power equipment fault diagnosis system was validated describes a device used in the experiments and instruments , given the specific experimental protocols and some typical experimental results and the experimental the results were analyzed. Chapter V summarizes the full text of research results, and future work are discussed. This study for the promotion of nuclear power equipment condition monitoring and fault diagnosis technology, to guarantee the safe and reliable operation of nuclear power facilities , improve defense fighting has important theoretical significance and practical value.

Related Dissertations

  1. Applied Research of Critical Chain Management in D Company’s Nuclear Power Equipments Manufacture Project Scheduling Management,F426.61;F224
  2. The Detection Line of Automotive Performance and Automatic Fault Diagnosis System,U472.9
  3. Research of Multi-Sensory Myoelectric Prosthetic Hand with Hardness and Thermal Conductivity,TP242
  4. Research on the Key Technologies fo Speech Recognition for Robot Communication,TN912.34
  5. The Method Research and Application on Electronic Equipment Fault Diagnosis,U472.9
  6. Research on Fault Diagnosis of Rolling Bearing Based on Multi-Sensor Information Fusion,TH165.3
  7. Research on Intelligent Fault Diagnosis System of Hydraulic,TV738
  8. Development of Fault Diagnosis System for Marine Diesel Engine,U672
  9. The Study of Realizing the Interface and Low-Level Control of Electrimagnetic Interference Fault Diagnosis Based on Labwindows/CVI,V267
  10. A Study on Ordering Molecular Marker Loci in a Genetic Linkage Group,TP18
  11. Image Processing Basing on Fuzzy Theory and Hidden Markov Model,TP391.41
  12. Seismic Testing and Analysis of Equipments for NPP,TU352.11
  13. Nuclear power equipment manufacturing -oriented quality management model and system,TP311.52
  14. The Research on Fault Diagnosis Card of XX Communication Equipment,TN915.05
  15. The Development of Fault Diagnosis System for Combined Cycle Unit Based on Thermal and Vibration Parameter,TK478
  16. Study for Development Strategies of Dongfang(Guangzhou) Heavy Machinery Co., Ltd,F426.4
  17. The Analyses of Nuclear Equipment Procument for China Nuclear Power Project Engineering Corporation,F426.61;F426.23
  18. Control and Open-switch Fault Diagnosis of Doubly-fed Wind Power Converter,TM46
  19. Speech recognition algorithm and its application in embedded,TN912.34
  20. The Fault Diagnosis Methods and the Fault Diagnosis System Development Researching for the Bulk Oxygen-Making Equipment,TQ116.14
  21. VQ with HMM model experimental study of the speech signal,TN912.3

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Monitoring, alarm,fault diagnosis system
© 2012 www.DissertationTopic.Net  Mobile