Monitorowanie napędów elektrycznych z silnikami indukcyjnymi za pomocą wektora przestrzennego prądów stojana

• Autorzy: Kowalski C. T. , Pawlak M.

Warianty tytułu

EN

Monitoring of induction motor drives using current Park's vector

• Konferencja: Problemy eksploatacji maszyn i napędów elektrycznych (2003; Ustroń, Polska)
• Języki publikacji: PL

Abstrakty

EN

In the important industrial processes using electrical drives of high power, the on-line monitoring and diagnosis systems are implemented, because of economical reasons. This paper deals with one of such monitoring methods, which uses the space vector of stator current for diagnosis purposes. The proposed method connects the simplicity of well-known method of motor current signature analysis (MCSA) with simultaneous increase of the accuracy of spectral analysis. The application of space current vector method (Park's vector method) for the detection of broken rotor bars, drive motor misalignment and stator windings asymmetry of the induction motor was demonstrated. The laboratory benchmark for the induction motor faults testing was described. This laboratory rig was equipped with the automatic fault detector realized in digital signal processor based on TMS320C31. Basic failures of the induction motor were tested using space vector method. Frequency spectra of Park's vector modulus of the faulted rotor, stator with short-circuit turns and drive misalignment were presented. The proposed method was evaluated from the point of view of the development of neural network based fault detectors.

Słowa kluczowe

PL

diagnostyka; silniki indukcyjne; uszkodzenie maszyn elektrycznych

• Wydawca: Sieć Badawcza Łukasiewicz - Górnośląski Instytut Technologiczny
• Czasopismo: Maszyny Elektryczne : zeszyty problemowe
• Rocznik: 2003
• Tom: Nr 66
• Strony: 97--102
• Opis fizyczny: Bibliogr. 6 poz., rys.

Twórcy

autor

Kowalski C. T.

• Instytut Maszyn, Napędów i Pomiarów Elektrycznych, Politechnika Wrocławska

autor

Pawlak M.

• Instytut Maszyn, Napędów i Pomiarów Elektrycznych, Politechnika Wrocławska

Bibliografia

• [1] Trzynadlowski A., Ritchie E., Comparative InIndustrial Electr.,vol.47.no.5,2000, pp. 1092-1099.
• [2] Vas P., Parameter estimation, condition monitoring, and diagnosis of electrical machines. Clarendon Press, Oxford, 1993.
• [3] Thomson W.T., A review of on-line condition monitoring techniąues for three-phase squirrel-cage induction motors - past, present and futurę, Proc. of IEEE Int. Symp. on Diagnostics for Electrical Machines, Power Electronics and Drives SDEMPED'1999, Gijon, Spain, 1999, pp. 3-18.
• [4] Benbouzid M., A Review of Induction Motors Signature Analysis as a Medium for Faults Detec-tion, IEEE Trans, on Industrial Electronics, vol.47, No.5, 2000, pp.984-993.
• [5] Cruz S.M., Cardoso A.J., Rotor Cage Fault Diagnosis in Voltage Source Inverter-Fed induction Motors, by the Extended Park's Vector Approach, Proc. of IEEE Int. Symp. on Diagnostics for Electrical Machines, Power Electronics and Drives SDEMPED'1999, Gijon, Spain, 1999, pp.105-110 .
• [6] Kowalski C.T., Orlowska-Kowalska T., Neural Networks Application for Induction Motor Faults Diagnosis, Proc. ofl^ Intern. Confer. on Modelling and Simulation of Electric Machines, Converters and Systems ELECTRIMACS'02, Montreal, Canada, 2002.