Gear Fault Diagnosis Based on Time Domain Indexes on Harmonic Wavelet Reconstruction Signal

Man Chen; Biao Ma; Chang Song Zheng

doi:10.4028/www.scientific.net/AMR.718-720.807

Paper Titles

Introduction of Noncontact Laser Measuring System to Measure Volume Displacement of Triaxia1 Specimens
p.785

Identification Model in Frying Oil Based on Interval Partial Least Squares Regression Analysis
p.792

Quality Inspection System for Electric-Explosive Initiator Based on Virtual Instrument
p.797

Topological Characteristics of Coherent Structures in the Turbulent Boundary Layer Measured by Tomo-PIV
p.801

Gear Fault Diagnosis Based on Time Domain Indexes on Harmonic Wavelet Reconstruction Signal
p.807

High Voltage Ratio Measurement Base on Two-Digital-Meters External Synchronous Trigger Mode
p.815

High-Performance Embedded Technologies Improve Performance of Measuring and Testing Systems
p.820

The Research of Divider Voltage Variation Measurement Based on Serial and Parallel Double-Voltage Method
p.825

Research on Road Test Technology of Automobile Braking Ability Based on MEMS
p.830

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 718-720Gear Fault Diagnosis Based on Time Domain Indexes...

Gear Fault Diagnosis Based on Time Domain Indexes on Harmonic Wavelet Reconstruction Signal

Abstract:

The vibration character is analyzed with the methods of harmonic wavelet and time domain indexes of reconstruction with simulation signal and test data. Using harmonic wavelet compactly supported characteristic and box spectrum, the data is rebuild with some specific frequency wavelet coefficients. This not only realized the frequency domain filtering, the time domain information is also retained. The analysis of time domain indexes shows the method can identify the vibration amplitude growth derived from the noise or from the useful signals. The simulation and experimental results confirm that, with the harmonic wavelet reconstruction signal time domain indexes, the gear fault detection and diagnosis can be achieved under the condition of strong noise.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 718-720)

Pages:

807-814

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.718-720.807

Citation:

Cite this paper

Online since:

July 2013

Authors:

Man Chen, Biao Ma, Chang Song Zheng

Keywords:

Fault Diagnosis, Harmonic Wavelet, Signal Reconstruction, Time Domain Index

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] He Lingsong,Li Weihua. Analysis on Envelope Detection Based on Morlet Wavelet. Vibration Engineering Journal,2002, 15(1):119-121

Google Scholar

[2] Ding Kang, Jiang Liqi. Study on Limitation of Demodulation Analysis in Mechanical Vibration Analysis.Machine Science and Technology, 2000,19(5):722-728

Google Scholar

[3] Wang W J,McFadden P D. Application of wavelets to gearbox vibration signals for fault detection. Journal of Sound and Vibration,1996,192(5):927-939

DOI: 10.1006/jsvi.1996.0226

Google Scholar

[4] Newland D E. Wavelet Analysis of Vibration, Part 1:Theory. Vibration and Acoustics,1994, 10(116):409-416

DOI: 10.1115/1.2930443

Google Scholar

[5] Newland D E. Harmonic and Musical Wavelet. Proc.R.Soc.Land.A,1994,444:605-620

Google Scholar

[6] Li Shunming, Xu Qingyu. Extracting of Harmonic Wavelet Frequency-domain of Weak Vibration Signal. Journal of Xi'an Jiaotong University,2004 38(1):51-55

Google Scholar

[7] Li Shunming, Lv Guozhi, Xu Qingyu. Harmonic Purification of Rotor Axis Obit, Journal of Northwestern Polytechnical University, 2001.19(2): 220-224

Google Scholar