FAULT DIAGNOSIS ON BEARINGS IN SYNCHRONOUS MACHINE BY PROCESSING VIBRO-ACOUSTIC SIGNALS USING HIGHER ORDER SPECTRAL.
- Department of Electrical Engineering, Instituto Tecnol?gico de Mexicali, Mexicali, Baja California, M?xico.
- Imperial Valley College, Calexico California, U.S.A.
114 Downloads
200 Views
Abstract
This work presents a methodology for detecting faults in synchronous generator bearings using vibration signals recorded by acceleration transducers (piezoelectric accelerometers) and acoustic transducers (omnidirectional microphones). The advantage of using the spectra of higher-order (HOSA) in the diagnosis of faults in rotating electric machines bearings is analyzed. A comparison for two special cases of (HOSA) was made: spectral density of power (PSD) and biespectrum (BIS). Vibration signals of bearings without fail and with an artificially induced failure were analyzed. The artificial fault consisted of a crack produced on a SKF6303-2RSH bearing cage. This procedure allowed to determine that the BIS shows much more clearly the frequencies generated by the defective bearing.
Keywords
Article Analytics
References
- Zulma Medrano, Carlos P?rez, Julio G?mez. (2015)a. A Review on Detection and Fault Diagnosis in Induction Machines. Journal of Engineering Science and Technology Review. pp.185-195.
- Alejandro Suarez. (1998). IDEAR. An?lisis de Fallas en Rodamientos. pp. 1-20.
- Sin, Wen Soong, Nesimi Ertugrul. (2003). Induction Machine On-line Condition Monitoring and Fault Diagnosis-A Survey. University of Adelaide. pp. 1-6.
- Zulma Medrano, Carlos P?rez, Marco Armas, Cesar Amaro. (2013). Un Estudio sobre la Localizaci?n, Detecci?n y Diagn?stico de Fallas en M?quinas El?ctricas. Universidad Militar Neogranadina. pp. 37-59.
- Zulma Medrano, Carlos P?rez; Julio G?mez, (2014). A review on detection and fault diagnosis in induction machines. Publicaciones en Ciencias y Tecnolog?a. Universidad Centroccidental Lisandro Alvarado. pp. 11-30.
- Zulma Medrano, Carlos P?rez, Julio G?mez, Maximiliano Vera. (2016). Nueva metodolog?a de diagn?stico de fallas en rodamientos en una m?quina s?ncrona mediante el procesamiento de se?ales vibro-ac?sticas empleando an?lisis de densidad de potencia. Ingenier?a Investigaci?n y Tecnolog?a, volume XVII (number 1). pp 73-85.
- Jason Stack, Ronald Harley, Thomas Habetler. (2004). An Amplitude Modulation Detector for Fault Diagnosis in Rolling Element Bearing. IEEE Transactions on Industrial Electronics. Vol. 51. pp. 1097-1102.
- Palomino Evelio. (2011). Elementos de medici?n y an?lisis de vibraciones mec?nica en m?quinas rotatorias. Centro de Estudios Ingenier?a de Mantenimiento. Published by: ucv vibraciones mecanicas.
- Wowk Victor. (1991). Machinery Vibration-Measurement and Analysis. McGraw Hill.
- Nikias C. L., Raghuveer M. R. (1987). Bispectrum Estimation: A Digital Signal Processing Framework. Proceedings of the IEEE. Vol. 75. No.7. pp. 869-891.
- Proakis, J.G. & Manolakis D. G. (1998). Tratamiento Digital de Se?ales. 3? ed. Prentice-Hall.
- Ypma Alexander, Upma Er, Ligteringen Ronald, Frietman-Eduard E.E., Duin-Rbert P.W. (1997). Recognition of Bearing Failures using Wavelets and Neural Networks. Pp.1-4.
- Vicente G?mez, y R. Paredes. (2005). Diagn?stico de Condiciones de Operaci?n de Rodamientos en M?quinas Usando Espectros de Orden Superior. [Master Thesis]. Cuernavaca, M?xico. cenidet.
- Toledo, I. Pinhas, D. Aravot, S. Akselrod. (2001). Bispectrum and Bicoherence for the Investigation of Very High Frecuency Peaks in Heart Rate Variability. Proceedings of the IEEE. Computers in Cardiology. No. 28. pp. 667-670.
- Crysostomos Nikias, Jerry Mendel. (1990). Introduction Special Section on Higher Order Spectral Analysis. IEEE Trans. On Acoustics, Speech and Signal Processing, Vol. 38.
- Alessandro Rivola. (2000). Applications Of Higher Order Spectra To The Machine Condition Monitoring. Dipartimento di Ingegneria delle Costruzioni Meccaniche, Nucleari, Auronautiche e di Metallurgia. Pubbl. DIEM. No. 07. Bolognia, Italia.
- Marcin Jasinki, Stanislaw Radkowski. Biespectrum as a Symptom of Damages in a Rolling Bearing Diagnostics. Scientific Research Comite.KBN No 9T12C04615.
- C. McCormick, A. K. Nandi. (1999). Bispectral and Trispectral Feature for Machine Condition Diagnosis. IEEE Proceeding Visual Image Process. Vol. 146. pp. 229-234.
- Jerry M. Mendel. (1991). Tutorial on Higher-Order Statistics (Spectra) in Signal Processing and System Theory: Theoretical Results and Some Applications. IEEE Vol. 79. No. 3. pp. 278-298.
- Swami, J. Mendel, C. Nikias. (1998). Higher-Order Spectral Analysis Toolbox: For Use with MatLab. User's Guide Version 2. MathWorks.
- Brillinger David, Rosenblatt Murray. (1967). Computation and Interpretation of k-The Order Spectra. From B. Harris: Spectral Analysis of Time Series.
- Frequency calculator-Bearing frequencies calculation.
- Zulma Medrano, Carlos P?rez; Julio G?mez, (2015)b. Diagn?stico de fallas en rodamientos en un generador s?ncrono: Nueva t?cnica de diagn?stico de falla en rodamientos en un generador s?ncrono a trav?s de se?ales vibro-ac?sticas
How to Cite This Article
Zulma Yadira Medrano Hurtado and Humberto Marcelo. (2017); FAULT DIAGNOSIS ON BEARINGS IN SYNCHRONOUS MACHINE BY PROCESSING VIBRO-ACOUSTIC SIGNALS USING HIGHER ORDER SPECTRAL., Int. J. of Adv. Res., 5 (04), 1210-1225, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/3937
Corresponding Author
This work is licensed under a Creative Commons Attribution 4.0 International License.





