Dissertation > Excellent graduate degree dissertation topics show

Gearbox Fault Diagnosis EMD Spectral Kurtosis and SVM

Author: WangZhenHua
Tutor: PanHongXia;LuHuiShan
School: University of North
Course: Mechanical Manufacturing and Automation
Keywords: Gearbox Empirical Mode Decomposition End effect Spectral kurtosis SupportVector Machine
CLC: TH165.3
Type: Master's thesis
Year: 2014
Downloads: 8
Quote: 0
Read: Download Dissertation


Gearbox has now been widely used in engineering practice, Change in the transmissionof power and speed showed superior performance. But also a prone to frequent failure ofmachinery and equipment, Once a gearbox components on abnormal and do not get timelymaintenance, May not operate properly will cause the entire production line and thus affectthe quality of the final product, So for gearbox fault diagnosis analysis is necessary.Firstly, the basic structure and vibration mechanism ZS-65-type gearbox are described indetail, Which includes an outer ring, an inner ring, cage, the rolling elements and the commonfailure modes and the corresponding tooth of the diagnostic signal analysis method. In thede-noising using wavelet packet decomposition method effectively de-noising the signalprocessing.Secondly, the empirical mode decomposition (EMD) conducted in-depth research, Andon its decomposition occurred during the end effects presents a new method for inhibiting, ARmodel predicts that the use of the data window function extension and combined effects ofsignal-to-end approach to be carried out effectively suppressed, And to improve the accuracyof the subsequent signal processing. In order to be able to find fault information containedIMF component,This introduces a spectral kurtosis parameters, And the effective combinationof EMD and extract the spectral kurtosis up various conditions gearbox characteristicfrequency, Achieved the desired results.Finally, the use of support vector machines for the reconstructed signal after extractingfeature vectors and a normalized signal processing and pattern recognition were classified,and achieved good results, fully verified spectral kurtosis using EMD and combine the two toextract fault eigenvectors effective, good working conditions for all kinds of gearboxclassified.

Related Dissertations

  1. The Fault Diagnosis of a Gearbox System Based on Wavelet Analysis and the Current Signature of the Induction Motor,TH165.3
  2. The Fault Diagnosis of Wind Turbine Gearbox Based on LSSVM of Parameter Optimization and Improved PSO,TM315
  3. Control Strategies to Reduce Both the Frictional Energy Loss and Jerk in DCT Gearshifts,U463.6
  4. Study on Health and Usage Monitoring System for Gearbox of Military Helicopter,V275.1
  5. Study on Test Bench of Wind Turbine Gearbox,TM614
  6. Research on the Technology of Non-torque Loading System for Wind Turbine Drivetrain,TM614
  7. Study of Short-Term Power Forecasting in Coastal Wind Farm,TM614
  8. A Study of GPS Dynamic Deformation Monitoring Data Processing Based on EMD and ICA,P228.4
  9. Theories and Experiment Research on Pumping Units with Secondary Balancer,TE933.1
  10. Research on the Key Design Technology of the Running Gear Box Used in CMC-16 Switch Grinding Vehicle,U216.6
  11. Research of Fault Diagnosis System on Rotating Machinery based on LabVIEW,TH165.3
  12. Research on Thermal Field Analysis and Temperature Prediction Model of Multi-disk Wet Clutch,TH133.4
  13. Research of Fault Diagnosis Instrument for Gearbox Based on Vibration Signal Analysis,TH165.3
  14. Dynamic Characteristics and Operational Modal Analysis of Wind Turbine Gearbox,TH132.41
  15. Research on Diagnosis of Sudden Cardiac Death Based on ECG Signals and TWA,TN911.7
  16. Research on the Anti-shock Calculation Methods of Warship Gearbox,TH132.41
  17. Finite Element Analysis and Research on Heavy-Duty Truck Gearbox Housing,U463.212
  18. Electrically Controlled Electricity Actuator Automatic Transmission Electricity Functional Element Feasibility Study,U463.212
  19. The Finite Element Analysis and Optimization for Speed Increasing Gearbox Housing,TH132.41
  20. Study on Fault Feature Extraction of Gearbox Based on EMD,TH165.3
  21. Fault Diagnosis of Gear-Box Based on Wavelet Neural Network Expert Systems,TH165.3

CLC: > Industrial Technology > Machinery and Instrument Industry > Machinery Manufacturing Technology > Flexible manufacturing systems and flexible manufacturing cell > Fault diagnosis and maintenance
© 2012 www.DissertationTopic.Net  Mobile