Abstract
Motor Current Signal Analysis (MCSA) has been the most requested method by researchers in recent years for the diagnosis of faults in three-phase Induction Motors (IM). While this method must always involve another field of research for it to be effective, it faces challenges imposed by the evolution of the controls. In this article, it is proposed to adopt this method of detecting Bearing Defects (BD) when the machine is controlled by Direct Torque Control (DTC). Spectral analysis of line current in the case of a direct start, then by the DTC using the Fast Fourier Transform (FFT) alone and with the Hilbert Transform (HT), which is an efficient and preferred tool for the extraction of the signal envelope, The extracted signals will clearly illustrate the interest of HT. This diagnostic system is simulated in MATLAB/ Simulink.
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References
Gundewar, S.K., Kane, P.V.: Condition monitoring and fault diagnosis of induction motor. J. Vibr. Eng. Technol. 9(4), 643–674 (2021)
Jiageng, C., Niaqoning, H., Lun, Z., Ling, C., Bozheng, W., Yang, Z.: A method for broken rotor bars diagnosis based on sum-of-squares of current signals. Appl. Sci. 10, 5980 (2020)
Pita, H., Zurita, G., Vllarroel, A.: Software development firmware system for broken rotor bar detection and diagnosis of induction motor through current signature analysis. JMES. 13, 6920–6931 (2020)
Senthil, K.R., Gerald, C.R., Saravanan, S., Umashankar, S.: Broken rotor bar fault detection using Hilbert transform and neural networks applied to direct torque control of induction motor drive. IET Inst. Eng. Technol. 13, 3328–3335 (2020)
Bouras, A., Bennedjai, S., Bouras, S.: Experimental detection of defects in variable speed fan bearing using stator current monitoring. SN Appl. Sci. 2(5), 1–8 (2020). https://doi.org/10.1007/s42452-020-2687-2
Asad, B., Vaiman, T., Anouar, B., Ants, K., Anton, R., Iqbal, M.N.: Broken rotor bar fault detection of grid and inverter-fed induction motor by effective attenuation of the fundamental component. IET Elect. Power App. 13, 2005–2007 (2019)
Mahfoud, S., Derouich, A., Ouanjli, E.L., Mahfound, E.L., Taoussi, M.: A new strategy-based PID controller optimized by genetic algorithm for DTC of the doubly fed induction motor. Systems 9, 37 (2021)
Mahfoud, S., Derouich, A., Iqbal, A., El Ouanjli, N.: ANT-colony optimization-direct torque control for a doubly fed induction motor: an experimental validation. Energy Rep. 8, 81–98 (2022)
Tarek, A., Arezki, M., Hicham, T., Youness, A.: Discrete wavelet transform and energy eigen value for rotor bars fault detection in variable speed field-oriented control of introduction motor drive. ISA Trans. 79, 217–221 (2018)
Safin, N.R., Prakht, V.A., Dmitrievskii, V.A., Dmitrievskii, A.A.: Stator current fault diagnosis of induction motor bearings based on the fast Fourier transform. Russ. Electr. Eng. 87(12), 661–665 (2016). https://doi.org/10.3103/S1068371216120063
Immovilli, F., Bellini, A., Rubini, R., Tassoni, C.: Diagnosis of bearing faults in induction machines by vibration or current signals: a critical comparison. IEEE Trans. Ind. Appl. 46(4), 1350–1359 (2010)
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El Idrissi, A., Derouich, A., Mahfoud, S. (2022). Fault Diagnosis of the Bearing Outer Ring of an Induction Motor Under DTC Control by Using Hilbert Filter. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2022. Lecture Notes in Networks and Systems, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-01942-5_80
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