The Amplitude Feature of Current Eigenfrequency for Motor Bearing Banded Failure

Guo Zhu Cheng; Chi Dong Qiu; Xin Bo Wu; Zheng Yu Xue

doi:10.4028/www.scientific.net/AMM.668-669.268

Paper Titles

Simulation and Analysis for Composite Casing Aging Trend Based on ANSYS
p.248

Statics Analysis and Modal Analysis of the Beam Structure of Wave-Maker Based on Finite Element Analysis
p.253

Stiffness Matching Design of Vehicle Bumper Anti-Collision Beam Considering Energy Absorption and Economical Performance
p.258

Structural Stiffness Optimization Under Dynamic Loads
p.264

The Amplitude Feature of Current Eigenfrequency for Motor Bearing Banded Failure
p.268

The Current Eigenfrequencies for Bearing Fault of Mixed Eccentric Motor Based on Amplitude Modulation
p.273

The Impact to WELDOX960 Steel Welding Joint Made by Strength Match
p.277

The Necessary Condition for the Existence of the Periodic Solution of Honeycomb Sandwich Plate Dynamics Model
p.281

The Numerical Simulation of Swirl Jet Characteristic
p.285

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 668-669The Amplitude Feature of Current Eigenfrequency...

The Amplitude Feature of Current Eigenfrequency for Motor Bearing Banded Failure

Abstract:

The amplitude feature of those current eigenfrequencies resulting from bearing banded failure is merely focused even though it is very important for distinguishing bearing failure. This theme described the torque oscillation resulting from bearing banded failure based on periodic rectangular pulse model, deduced the modulation principle between rotor magnetomotive force and torque oscillation, presented the relation expression between various banded failure and the amplitude of different eigenfrequency. Finally, a series of simulation studies were conducted and results show that the proposed theory is valid.

You might also be interested in these eBooks

Mechanical Components and Control Engineering III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 668-669)

Pages:

268-272

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.668-669.268

Citation:

Cite this paper

Online since:

October 2014

Authors:

Guo Zhu Cheng, Chi Dong Qiu, Xin Bo Wu, Zheng Yu Xue

Keywords:

Bearing, Eigenfrequency, Failure, Motor

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] WilliamT. Thomson, Mark Fenger. Current signature analysis to detect induction motor fault. IEEE Industry Applications Magazine. 2001, 7(4): 26-34.

DOI: 10.1109/2943.930988

Google Scholar

[2] Arfat Siddique, G. S. Yadava, Bhim Singh. A Review of Stator Fault Monitoring Techniques of Induction Motors. IEEE Transactions on Energy Conversion. Mar. 2005, 20(l): 106-114.

DOI: 10.1109/tec.2004.837304

Google Scholar

[3] Schoen R R, Habetler T G, Kamran F et al. Motor bearing damage detection using stator current monitoring. IEEE Transactions on Industry Applications, 1995, 31(6): 1274-1279.

DOI: 10.1109/28.475697

Google Scholar

[4] M. Blodt, P. Granjon, B. Raison, and G. Rostaing. Models for bearing damage detection in induction motors using stator current monitoring. IEEE Transactions on Industrial Electronics, 2008, 55(4): 1813-1822.

DOI: 10.1109/tie.2008.917108

Google Scholar

[5] Blodt M, Chabert M, Regnier J et al. Mechanical load fault detection in induction motors by stator current time-frequency analysis. IEEE Transactions on Industry Applications, 2006, 42(6): 1454-1463.

DOI: 10.1109/tia.2006.882631

Google Scholar

[6] B. Trajin J. Regnier, J. Faucher. Comparison between vibration and stator current analysis for the detection of bearing faults in asynchronous drives. IET Electric Power Applications, February 2010, 4(2): 90-100.

DOI: 10.1049/iet-epa.2009.0040

Google Scholar