Nowe rozwiązanie przetwornika prądu w diagnostyce prądowej silników indukcyjnych

• Autorzy: Swędrowski L. , Wołoszyk M. , Ziółko M.

Warianty tytułu

EN

A new solution of current transducer for induction motor current diagnostics

• Języki publikacji: PL

Abstrakty

PL

Wadą praktycznie wszystkich opublikowanych systemów do diagnostyki łożysk metodą pomiaru prądu zasilającego w silniku indukcyjnym jest niska jakość układów do pomiaru prądu. W prezentowanej pracy jako przetwornik prądu na napięcie zaproponowano transformator o wysokich parametrach, pracujący z przetwarzaniem prądu na napięcie. W referacie zostaną przedstawione wyniki badań przetwornika, które potwierdziły oczekiwane parametry - niskie szumy własne i liniową charakterystykę w szerokim paśmie.

EN

Vibrations, temperature, acoustic noise, current, instantaneous power [1] and magnetic flux are used for diagnostics of induction motor bearings [2, 3]. The primary source of other signals is shaft vibration. This is the source of disturbance in the machine air gap and, in effect, of the motor current modulation [4]. The main problem in current diagnostics of induction motor bearings [5, 6] is high level of noise in comparison with useful spectra components. Normally used hallotron type of current transducers have high level of noise and non-linear characteristics. In this case the special methods of data processing cannot be helpful in achieving the final result - reliable diagnosis [7, 8, 9]. In the presented paper a high quality current transformer (Fig. 1) was used as a component for current to voltage transformation. The transformer output signal is delivered to a low level noise amplifier and, finally, to a 24 bit DAQ in PXI module. The specially designed software in LabVIEW calculates the signal spectra, especially the amplitudes of spectrum components for certain damages. In the paper there are presented the results of noise investigations (Figs. 5, 6) of the constructed transducer as well as of the accuracy analyses (Figs. 3, 4, 5). All these investigations show that the proposed transducer is better than those used so far. It is expected that results of motor diagnostics obtained with use of the new transducer will have much higher reliability.

Słowa kluczowe

PL

pomiary prądu; diagnostyka; silnik indukcyjny; łożyska toczne

EN

current measurements; diagnostics; asynchronous rotating machines; roll bearings

• Wydawca: Wydawnictwo PAK
• Czasopismo: Pomiary Automatyka Kontrola
• Rocznik: 2011
• Tom: R. 57, nr 12
• Strony: 1570--1572
• Opis fizyczny: Bibliogr. 12 poz., rys., wykr.,

Twórcy

autor

Swędrowski L.

autor

Wołoszyk M.

autor

Ziółko M.

• Politechnika Gdańska, Wydział Elektrotechniki i Automatyki, ul. Narutowicza 11/12, 80-233 Gdańsk,

Bibliografia

• [1] Dzwonkowski A., Swędrowski L.: Diagnosis of bearing damage in induction motors by instantaneous power analysis, The Sixth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies CM 2010.
• [2] Immovilli F., Bellini A., Rubini R., Tassoni C.: Diagnosis of Bearing Faults in Induction Machines by Vibration or Current Signals - A Critical Comparison, IEEE Transactions on Industry Applications, vol. 46, no. 4, 2010.
• [3] Swędrowski L., Dzwonkowski A.: Application of vibration methods for calibration of diagnostic system based on motor current analysis, Elektrotechnika i Elektronika, Vol. 25, Issue 2, 2006.
• [4] Swędrowski L., Rusek J.: Model and simulation tests of a squirrel-cage induction motor with oscillation of air gap, Proc. of: 5th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, Vienna, Austria 7-9, September. IEEE, Arsenal Research, (2005).
• [5] Schoen R. R., Habetler T. G., Kamran F., Bartheld R. G.: Motor bearing damage detection using stator current monitoring. IEEE vol. 31, Nov/Dec (1995).
• [6] Swędrowski L.: Diagnostics measurement of current supplying an electric motor. XVII IMEKO World Congress - Metrology in the 3rd Millenium. Dubrovnik, Croatia, June (2003).
• [7] Jack L. B., Nandi A. K.: Genetic algorithms for feature selection in machine condition monitoring with vibration signals, IEEE Proc. - Vision, Image and Signal Processing, vol. 147, June 2000.
• [8] Bellini A., Cocconcelli M., Immovilli F., Rubini R.: Diagnosis of mechanical faults by spectral kurtosis energy, IECON 2008. 34th Annual Conference of IEEE Industrial Electronics, 2008. 10-13 Nov. 2008.
• [9] Zoubek H., Villwock S., Pacas M.: Frequency Response Analysis for Rolling-Bearing Damage Diagnosis, IEEE Transactions on Industrial Electronics, Volume 55, Issue 12, Dec. 2008.
• [10] Wei Zhou, Habetler T. G., Harley R. G.: Incipient Bearing Fault Detection via Stator Current Noise Cancellation Using Wiener Filter, IEEE International Symposium on Diagnostics for Electrical Machines, Power Elektronics and Drives, Cracow 2007.
• [11] Frosini L., Bassi E., Gazzaniga C.: Effect of the bearings faults on the efficiency of the induction motors, IECON 2008. 34th Annual Conference of IEEE Industrial Electronics, 2008. 10-13 Nov. 2008.
• [12] Trajin B., Regnier J., Faucher J.: Detection of bearing faults in asynchronous motors using Luenberger speed observer, IECON 2008. 34th Annual Conference of IEEE Industrial Electronics. 10-13 Nov. 2008.