A new diagnosis of broken rotor bar fault extent in three phase squirrel cage induction motor

Fault Diagnosis of Induction Machines in Transient Regime Using Current Sensors with an Optimized Slepian Window

“…For example, ρ f ault can be computed from (1), (2) and 3for the detection of rotor broken bar, mixed eccentricity and bearing faults, respectively. In the following sections the proposed approach has been applied to the diagnosis of rotor broken bars, as in [9,11,13,15,32,74], without any loss of generality. In this case, ρ f ault is calculated as the derivative of (1) with respect to the time.…”

“…Traditionally, these techniques, known as motor current signature analysis (MCSA), have focused on the detection of faults during the steady state functioning of the machine through the current spectrum, which can be computed using the fast Fourier transform (FFT) [7][8][9][10]. For example, bar breakages in the rotor cage produce components of frequencies f bb [9,[11][12][13][14][15][16] f bb = |(1 ± 2ks)| f supply k = 1, 2, 3 . .…”

“…Other approaches rely on tracking the evolution of the fault harmonics in the time-frequency domain, looking for characteristic patterns of each type of fault, as indicated by (1), (2) and (3); this technique allows the detection of different types of faults, even in the case of mixed faults, with the instantaneous presence of two faults, such as broken rotor bars in the presence of the intrinsic static eccentricity; as [28] states, rotor bars breakage causes the static eccentricity and it is possible that two faults occur simultaneously. TMCSA techniques have been developed in the technical literature using different time-frequency (TF) signal analysis tools [9,29], such as the discrete wavelet transform (DWT) [15,[30][31][32][33][34][35][36], the discrete wavelet packet transform (DWPT) [37], the discrete harmonic wavelet transform (DHWT) [38], the continuous wavelet transform (CWT) [39,40], the complex CWT [41,42], and the Wigner-Ville distribution (WVD) [43,44], among others. Wavelet-based transforms require a proper choice of the mother wavelet and a precise adjustment of the sampling frequency and the number of bands of the decomposition to perform fault diagnosis.…”

Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0

“…Paper [28] proposed a method to detect BRB by doing transient analysis of the motor startup currents using the wavelet approach. In [29], BRB diagnostics using wavelet under varying load conditions is proposed in a specific frequency band. The authors of [30] applied the discrete wavelet transform on instantaneous reactive power of BRB fault baring induction motor, operating under the time varying load conditions.…”

Detection of Broken Rotor Bars Fault in Induction Motors by Using an Improved MUSIC and Least-Squares Amplitude Estimation

“…During early stage, such as one broken bar, this type of fault may not show any symptoms. If no detection system or program, such fault will gradually deteriorate, causing other faults or leading to the sudden collapse [1][2][3]. It is known that unplanned downtime often causes a great economic loss [3].…”