Commenced in January 2007
Paper Count: 32128
Analysis of Vibration Signal of DC Motor Based on Hilbert-Huang Transform
Abstract:This paper presents a signal analysis process for improving energy completeness based on the Hilbert-Huang Transform (HHT). Firstly, the vibration signal of a DC Motor obtained by employing an accelerometer is the model used to analyze the signal. Secondly, the intrinsic mode functions (IMFs) and Hilbert spectrum of the decomposed signal are obtained by applying HHT. The results of the IMFs constituent and the original signal are compared and the process of energy loss is discussed. Finally, the differences between Wavelet Transform (WT) and HHT in analyzing the signal are compared. The simulated results reveal the analysis process based on HHT is advantageous for the enhancement of energy completeness.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1061992Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2138
 G. S. Maruthi. and K. P. Vittal "Electrical fault detection in three phase squirrel cage induction motor by vibration analysis using MEMS accelerometer," in Proc. 2006 IEEE Power Electronics and Drives Systems conf., pp. 838-843.
 H. Ocak, and K. A. Loparo "Estimation of the running speed and bearing defect frequencies of an induction motor from vibration data," in Proc. 2004 Mechanical Systems and Signal, pp. 515-533.
 H. Zhang, K. Bradley, and P. Zanchetta "A None-intrusive Load and Efficiency Evaluation Method for In-Service Motors Using Vibration Tests with an Accelerometer," in Proc. 2008 IEEE Industry Applications Society Annual Meeting conf., pp 1-6.
 M. Kawada, and K. Yamada "Visualization of Vibration Phenomena on Model Turbine Rotor Using Cross-Correlation Method Based on In-Place Fast Haar Wavelet Transform," in Proc. 2008 IEEE Power and Energy Society General Meeting conf., pp 1-6.
 R. Yan, and R. X. Gao, Senior Member, " Hilbert-Huang Transform-Based Vibration Signal Analysis for Machine Health Monitoring," IEEE Trans. Instrumentation and measurement, vol. 55, pp. 2320-2329, Dec. 2006.
 A. Roy, C.-H. Wen, J. F. Doherty, and J. D. Mathews, " Signal Feature Extraction From Microbarograph Observations Using the Hilbert-Huang Transform," IEEE Trans. Geoscience and Remote Sensing, vol. 46, no. 5, May 2008.
 N. E. Huang and S. R. Long, "The ages of large amplitude coastal seicheson the Caribbean coast of Puerto Rico," Journal Phys. Ocean., vol. 30, pp.2001-2012, Aug. 2000.
 N. E. Huang, Z. Shen, and S. R. Long, "A new review of nonlinearwater waves: The Hilbert spectrum," Annu. Rev. Fluid Mech., vol. 31, pp. 417-457, Jan. 1999.