Dissertation > Excellent graduate degree dissertation topics show

Research and Design of NC Teaching Platform Based on Status Monitoring and Fault Diagnosis

Author: HanZhiGuo
Tutor: WangTaiYong
School: Tianjin University
Course: Mechanical Manufacturing and Automation
Keywords: Status monitoring Open CNC Fault diagnosis MTTR MTBF
CLC: TG659
Type: Master's thesis
Year: 2004
Downloads: 163
Quote: 3
Read: Download Dissertation

Abstract


With the fast development of computer science and the continuous increasingrequirements of the technology of CNC, the functions of numerical controlledmachine are progressive. At the same time, the CNC system becomes massive andcomplicated. Therefore, new problems in CNC technology teaching, especially theteaching of fault diagnosis and maintenance, have been put forward.Numerical controlled machine tool is the main equipment in manufacturingindustry. Manufacturing industry informationizion requires the higher reliability andmaintainability of them. To satisfy these requirements, either MTBF (Mean Timebetween Failures) is lengthened or MTTR (Mean Time to Repair) is shortened.At present,the teaching of fault diagnosis and maintenance occupies a very littleproportion in CNC teaching, and is not systemic. Thus, a CNC teaching platformbased on status monitoring technology and fault diagnosis has been brought forwardin this paper.With a backbone using status monitoring technology and open CNC system, ateaching platform of CNC based on status monitoring and fault diagnosis has beencreated. Based on the on-line monitored function, the teaching of status monitoringtechnology can be realized on this platform. On the other hand, all the typical signalscan be controlled and measured by the upper software through the hardware of thespecial I/O ports. Thus, the experiments of the settings of the numerical controlledmachine signals and the obviating of the malfunction can be done on this platform. Atthe same time, the system of examinations and automatic grading has been designed.In this paper, a CNC teaching platform based on status monitoring and faultdiagnosis has been studied and designed, and practice teaching of status monitoringtogether with electric fault diagnosis and maintenance have been realized too. As aresult, students can master these technologies authentically. By the way ofintroducing advanced technologies into teaching, the level and quality of teachinghave been enhanced.

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. Research on the Key Technology of Waterborne Transport Security System,U698
  5. Monitoring Nitrogen Status and Growth Characters with Canopy Spectral Reflectance in Summer Maize,S513
  6. The Research on Fault Diagnosis System of Car Suspension,U472.9
  7. Integration of a variety of signal characteristics of analog circuit fault diagnosis,TN710
  8. Design and Research on Numerical Control Simulation Test-bed of Lifting Hydraulic System,TH702
  9. Robust Fault Estimation and Active Fault Tolerant Control for Uncertain System,TP13
  10. Fault Diagnosis on Fuel Control System of a Certain Aero-engine,V263.6
  11. Remote logging sensor fault diagnosis system,TP212
  12. Remote Diagnostic & Monitoring System Design and Development for Testing Prototype Vehicles,U472.9
  13. Research and design of electric power locomotive electrical system fault diagnosis expert system,U269.6
  14. MTBF based Ophone OS Platform Research and Application Testing,TP311.52
  15. Application Research of Integrated Technology of Intelligent Fault Diagnosis to NC Machine Tool Fault Diagnosis,TH165.3
  16. Research on Drilling Complex Incidents and Accident Diagnosis Based on Expert System,TE24
  17. Clutch comprehensive performance test bed control and fault diagnosis system,U467.5
  18. The Detection Line of Automotive Performance and Automatic Fault Diagnosis System,U472.9
  19. Study on the Fault Diagnosis of Asynchronous Induction Motor Base on the Wavelet Analysis,TH165.3
  20. Research on Fault Diagnosis of Ventilator Based on Second Generation Wavelet Transform,TH165.3
  21. High-speed gear fault diagnosis based on full vector spectrum technology,TH165.3

CLC: > Industrial Technology > Metallurgy and Metal Craft > Metal cutting and machine tools > Program control machine tools, CNC machine tools and machining
© 2012 www.DissertationTopic.Net  Mobile