Detection and Diagnosis faults in Machine asynchronous based on single processing
Abstract
In this work, we proposed multi-winding model for the simulation of broken bars in squirrel cage asynchronous machine, this model allows to study the influence of the broken bar defects on the behavior general of machines in different operating conditions (healthy and faulty). The breaking of the most frequent bars of the rotor causes oscillations of the torque, speed, and the current, the increase of the resistance of the rotor creates the defects proportional with the number of breaks bar K .The diagnosis fault using technique of single processing based on Spectrum analysis for detection broken bar. The results of the simulation obtained allowed us to show the importance of this technique for detection broken bar.
Full Text:
PDFReferences
Subhasis Nandi, Hamid A. Toliyat,, Xiaodong Li, "Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review", IEEE Transactions on Energy Conversion, vol. 20, n°4, December 2005, pp. 719-729.
O. Moussa, D. Khodja, H. Benguesmia, "Comparative Study between Sliding Mode Control and the Vectorial Control of a Brushless doubly fed induction generator ",International Journal of Energetica (IJECA), vol. 3, 2018, Issue 2, pp. 22-28.
A. Lebaroud, Guy Clerc, ''Classification of Induction Machine Faults by Optimal Time- Frequency Representations'', IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers, Vol. 55, NO. 12, December 2008, pp.4290 - 4298.
P.J. Tavner, "Review of condition monitoring of rotating electrical machines. Electric Power Applications", IET Electr. Power Appl., 2008, Vol. 2, No. 4, pp. 215–247. doi: 10.1049/iet-epa:20070280.
Pratesh Jayaswal, A. K.Wadhwani, K. B.Mulchandani, "Machine Fault Signature Analysis", International Journal of Rotating Machinery Volume 2008, Article ID 583982, 10 pages doi:10.1155/2008/58398
Chaitali S. Kalaskar, Vitthal J. Gond, "Motor Current Signature Analysis to Detect the Fault in Induction Motor",Journal of Engineering Research and Applications, ISSN : 2248-9622, vol. 4, Issue 6 (Version 1), June 2014, pp.58-61.
SZABÓ Loránd – DOBAI Jenő Barna – BIRÓ Károly Ágoston, "Rotor Faults Detection in Squirrel-Cage Induction Motors by Current Signature Analysis", IEEE-TTTC, International Conference on Automation, Quality and Testing, Robotics May 13 – 15, 2004..
K.M. Siddiqui, V.K. Giri, "Broken Rotor Bar Fault Detection in Induction Motors using Transient Current Analysis", International Journal of Electronics & Communication Technology, Vol. 2, Issue. 4, October – December 2011, pp. 114–119.
Neelam Mehala, Ratna Dahiya, "Motor Current Signature Analysis and its Applications in Induction Motor Fault Diagnosis", International journal of systems applications, Engineering & Development, Vol. 2, Issue.1, 2007, pp. 29–35.
Dragan MATIĆ, Željko KANOVIĆ, Vladimir BUGARSKI, Filip KULIĆ, Dejan RELJIĆ, Đura OROS, Veran VASIĆ, "Detection of the Broken Bar Fault. A Case Study For A 3.2 MW Induction Motor DETEKCIJA OTKAZA SLOMLJENE ŠIPKE. Analiza Asinhronog Motora 3,2MW ", Journal on Processing and Energy in Agriculture, 17:3, 2013, pp. 134–137.
A. Menacer, S. Moreau, A. Benakcha, M.S. Nait Said "Effect of the position and the number of broken bras on Asynchronous Motor Stator Current Spectrum",
EPE-Power Electronics and Motion Control, Portoroz, Slovenia, 2006, pp 973-978.
A. Menacer, A. Benakcha, M.S. Nait Said, S. Drid, "Stator Current Analysis of incipient fault into asynchronous motor rotor bars using fourier fast transform", Journal of Electrical Engineering, Vol. 55, N°5-6, 2004, pp 122-130.
Refbacks
- There are currently no refbacks.