Dissertation > Excellent graduate degree dissertation topics show

Disquisition of Condition-Based Maintenance System of Air Feeder in Power Plant Based on ANN

Author: WangJingRu
Tutor: ChenGuangHua
School: Beijing Jiaotong University
Course: Mechanical and Electronic Engineering
Keywords: Air Feeder Condition-Based Maintenance Neural Network Forcast Fault Diagnosis
CLC: TM621.73
Type: Master's thesis
Year: 2007
Downloads: 112
Quote: 4
Read: Download Dissertation


In Power Plants, air feeder system plays a very important role as one of the assistant systems. One hand, it has direct relationship with the combustion of the boiler. On the other hand, its high effciency run can improve the utilization of coal. Therefore the foundation of air feeder Condition-Based Maintenance has economical and secure practical sense for Power Plants. And at the same time, the tradition maintenance system, which is Time-Based Maintenance for the main part, has gradually been replaced by CBM, because it can’t satisfy the need of modern Power Plants.This paper designs a CBM system based on ANN about the air feeder of Shizuishan Power Plant, this system can realize data collection, state monitoring, state forcast, trend analysis, fault diagnosis, fault analysis and maintenance decision-making of the air feeder.This thesis particularly expatiates the theory, frame and functional methods of air feeder CBM system. The system collects the main performance parameters of air feeder by the PI real-time database network, and has real-time communication with the PC according to the PI data interface for on-line state monitoring. Synchronously after data pretreatment and feature extraction , the collection data get across the state forecast model and fault diagnosis model based on ANN for the air feeder’s current state, the results of the forecast and the diagnosis feedback to the on-line state monitoring after analysis and decision-making, to instruct the repairmen. The system has well reliability for the application of advanced technique of state monitoring, signal processing and fault forecast and diagnosis.The air feeder CBM system has a guarantee for its well running, contemporarily ensures the boiler’s safe combustion, the secure and economical running of the Power Plant. It doesn’t only reduce the maintenance charge, prolong the maintenance distant, but also extend the life-span of air feeder, increase the economic benefits of the Power Plants.

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. 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. The Application of Fuzzy Control and Neural Network in Planar Double Inverted Pendulum,TP273.4
  7. Research of Visual Servoing in 4-DOF Robotic Manipulator,TP242.6
  8. Research on Visual Servo System of Mechanical ARM,TP242.6
  9. Fault Diagnosis Method Based on Support Vector Machine,TP18
  10. Fault Diagnosis Research on Three-Tank System,TP277
  11. Design of Weapon Detection Device Control System,TP183
  12. Municipal tourism land use planning environmental impact assessment,X820.3
  13. Research on the Inteligent System of High Performance Concrete Mix Design in Zhujiang Triangle Area,TU528
  14. Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
  15. Research on the Key Technology of Waterborne Transport Security System,U698
  16. Smart Control Research in Paddy Drying Based on BP Neural Network,S226.6
  17. BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
  18. Fire Fighting System Research for the Offshore Platform,U698.4
  19. The Research on Evaluation of Living Status Systems of Expressway Relocated People,D523
  20. Research on Inspection Technology of Dehydrated Garlic Slice Based on Computer Vision,TP391.41
  21. Research and Application of Safety Assessment Method Based on Neural Network,X937

CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Power plant > Thermal power plants, thermal power stations > Auxiliary equipment > Heating, ventilation , dust , ash handling equipment
© 2012 www.DissertationTopic.Net  Mobile