Recognition of characteristic patterns is proposed in this paper in order to diagnose the presenc... more Recognition of characteristic patterns is proposed in this paper in order to diagnose the presence of electromechanical faults in induction electrical machines. Two common faults are considered; broken rotor bars and mixed eccentricities. The presence of these faults leads to the appearance of frequency components following a very characteristic evolution during the startup transient. The identification and extraction of these
2014 International Conference on Electrical Machines (ICEM), 2014
ABSTRACT Induction generators used in windmills usually work in non-stationary conditions, due to... more ABSTRACT Induction generators used in windmills usually work in non-stationary conditions, due to the varying speed of the wind. Therefore, in order to perform its diagnosis through the stator current analysis, adequate time-frequency transforms must be used. Discrete Wavelet Transform succeeds detecting the highest amplitude sideband harmonic caused by asymmetries. Nevertheless, it fails with the rest of faulty components. This paper proposes the use of a continuous time-frequency transform. It avoids the cross-terms introduced by the Wigner Ville Distributions. Moreover, it obtains the right time-frequency resolution needed in each zone of the plane, without the Short Time Fourier Transform or the Continuous Wavelet Transform restrictions. The proposed methodology is defined and experimentally validated: up to four faulty components are detected when diagnosing stator and rotor asymmetries.
Proceedings of the 2008 International Conference on Electrical Machines, ICEM'08, 2008
In this paper, the tracing of the right sideband component (RSC) evolution in the stator startup ... more In this paper, the tracing of the right sideband component (RSC) evolution in the stator startup current is proposed for the diagnosis of rotor asymmetries in induction machines. Although several works have dealt with the detection of the left sideband component (LSC) during the transient, few contributions have focused on the RSC, perhaps due to its more difficult detection, since
2009 IEEE International Electric Machines and Drives Conference, IEMDC '09, 2009
The Hilbert transform (HT) can improve the resolution of motor current signature analysis (MCSA),... more The Hilbert transform (HT) can improve the resolution of motor current signature analysis (MCSA), especially at very low slip, because it converts the supply frequency into a continuous component, which can be easily removed to better detect fault harmonics. This paper proposes its application also during speed transients, with two key advantages: first, it allows an easy filtering of the
SDEMPED 2011 - 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, 2011
ABSTRACT This paper addresses the problem of diagnosing cage motors with double bar breakages inv... more ABSTRACT This paper addresses the problem of diagnosing cage motors with double bar breakages involving non-consecutive rotor bars. As it is stated in previous works, the conventional diagnosis approaches fail when diagnosing this fault for certain relative positions of the broken bars. This work is focused on the study of the high order harmonics of the airgap-field produced by the fault; simple mathematical expressions are deduced which enable to evaluate the influence of the relative position of the broken bars on the amplitude of the fault related components (Left Sideband Harmonic and other high order fault components) of the stator current. These expressions demonstrate to be useful for confirming the diagnostic in uncertain cases; they are validated by finite element simulations and laboratory tests, using different diagnosis methodologies based both on steady-state and on transient analysis.
ABSTRACT Bar breaking diagnosis in electrical induction cage motors is a topic of interest due to... more ABSTRACT Bar breaking diagnosis in electrical induction cage motors is a topic of interest due to their extensive use in industry. In contrast to the typical method of using Fourier analysis of the steady-state stator current, Discrete Wavelet Transform (DWT) methods have been found to better analyze the time changing nature of the current spectrum of these machines at start-up when broken bars exist [1]. This paper advances the analysis to Wavelet Packets (WP) in order to study the high order harmonic components of the spectrum which constitute a useful source of information in situations where tracing the low-frequency fault harmonics (sideband components) may not reach a definite diagnostic (i.e. presence of low-frequency load torque oscillations, effect of inter-bar currents, etc...).
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED, 2007
The aim of the paper is to show several case histories regarding the diagnosis of rotor asymmetri... more The aim of the paper is to show several case histories regarding the diagnosis of rotor asymmetries and other faults in large induction motors. These are motors under real operation in power generating installations. Two different approaches are used for the diagnosis of the machine condition. Both of them are based on the study of the startup transient of the
2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2009, 2009
Page 1. Page 2. II. FAULTS CHARACTERISTICS TIME-FREQUENCY EVOLUTION PATTERNS IN THE STARTUP CURRE... more Page 1. Page 2. II. FAULTS CHARACTERISTICS TIME-FREQUENCY EVOLUTION PATTERNS IN THE STARTUP CURRENT In order to identify the presence of a fault on an electric machine we can, as it has been introduced ...
Diagnosis of stator inter-turn and inter-coil short-circuits is a matter of increasing concern in... more Diagnosis of stator inter-turn and inter-coil short-circuits is a matter of increasing concern in the industry. The identification of the specific components amplified by these faults in the Fourier spectrum of the steady-state current has been a reason for controversy between different groups of authors. Alternative diagnosis of these faults based on the analysis of transient processes of the machine
Recognition of characteristic patterns is proposed in this paper in order to diagnose the presenc... more Recognition of characteristic patterns is proposed in this paper in order to diagnose the presence of electromechanical faults in induction electrical machines. Two common faults are considered; broken rotor bars and mixed eccentricities. The presence of these faults leads to the appearance of frequency components following a very characteristic evolution during the startup transient. The identification and extraction of these
2014 International Conference on Electrical Machines (ICEM), 2014
ABSTRACT Induction generators used in windmills usually work in non-stationary conditions, due to... more ABSTRACT Induction generators used in windmills usually work in non-stationary conditions, due to the varying speed of the wind. Therefore, in order to perform its diagnosis through the stator current analysis, adequate time-frequency transforms must be used. Discrete Wavelet Transform succeeds detecting the highest amplitude sideband harmonic caused by asymmetries. Nevertheless, it fails with the rest of faulty components. This paper proposes the use of a continuous time-frequency transform. It avoids the cross-terms introduced by the Wigner Ville Distributions. Moreover, it obtains the right time-frequency resolution needed in each zone of the plane, without the Short Time Fourier Transform or the Continuous Wavelet Transform restrictions. The proposed methodology is defined and experimentally validated: up to four faulty components are detected when diagnosing stator and rotor asymmetries.
Proceedings of the 2008 International Conference on Electrical Machines, ICEM'08, 2008
In this paper, the tracing of the right sideband component (RSC) evolution in the stator startup ... more In this paper, the tracing of the right sideband component (RSC) evolution in the stator startup current is proposed for the diagnosis of rotor asymmetries in induction machines. Although several works have dealt with the detection of the left sideband component (LSC) during the transient, few contributions have focused on the RSC, perhaps due to its more difficult detection, since
2009 IEEE International Electric Machines and Drives Conference, IEMDC '09, 2009
The Hilbert transform (HT) can improve the resolution of motor current signature analysis (MCSA),... more The Hilbert transform (HT) can improve the resolution of motor current signature analysis (MCSA), especially at very low slip, because it converts the supply frequency into a continuous component, which can be easily removed to better detect fault harmonics. This paper proposes its application also during speed transients, with two key advantages: first, it allows an easy filtering of the
SDEMPED 2011 - 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, 2011
ABSTRACT This paper addresses the problem of diagnosing cage motors with double bar breakages inv... more ABSTRACT This paper addresses the problem of diagnosing cage motors with double bar breakages involving non-consecutive rotor bars. As it is stated in previous works, the conventional diagnosis approaches fail when diagnosing this fault for certain relative positions of the broken bars. This work is focused on the study of the high order harmonics of the airgap-field produced by the fault; simple mathematical expressions are deduced which enable to evaluate the influence of the relative position of the broken bars on the amplitude of the fault related components (Left Sideband Harmonic and other high order fault components) of the stator current. These expressions demonstrate to be useful for confirming the diagnostic in uncertain cases; they are validated by finite element simulations and laboratory tests, using different diagnosis methodologies based both on steady-state and on transient analysis.
ABSTRACT Bar breaking diagnosis in electrical induction cage motors is a topic of interest due to... more ABSTRACT Bar breaking diagnosis in electrical induction cage motors is a topic of interest due to their extensive use in industry. In contrast to the typical method of using Fourier analysis of the steady-state stator current, Discrete Wavelet Transform (DWT) methods have been found to better analyze the time changing nature of the current spectrum of these machines at start-up when broken bars exist [1]. This paper advances the analysis to Wavelet Packets (WP) in order to study the high order harmonic components of the spectrum which constitute a useful source of information in situations where tracing the low-frequency fault harmonics (sideband components) may not reach a definite diagnostic (i.e. presence of low-frequency load torque oscillations, effect of inter-bar currents, etc...).
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED, 2007
The aim of the paper is to show several case histories regarding the diagnosis of rotor asymmetri... more The aim of the paper is to show several case histories regarding the diagnosis of rotor asymmetries and other faults in large induction motors. These are motors under real operation in power generating installations. Two different approaches are used for the diagnosis of the machine condition. Both of them are based on the study of the startup transient of the
2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2009, 2009
Page 1. Page 2. II. FAULTS CHARACTERISTICS TIME-FREQUENCY EVOLUTION PATTERNS IN THE STARTUP CURRE... more Page 1. Page 2. II. FAULTS CHARACTERISTICS TIME-FREQUENCY EVOLUTION PATTERNS IN THE STARTUP CURRENT In order to identify the presence of a fault on an electric machine we can, as it has been introduced ...
Diagnosis of stator inter-turn and inter-coil short-circuits is a matter of increasing concern in... more Diagnosis of stator inter-turn and inter-coil short-circuits is a matter of increasing concern in the industry. The identification of the specific components amplified by these faults in the Fourier spectrum of the steady-state current has been a reason for controversy between different groups of authors. Alternative diagnosis of these faults based on the analysis of transient processes of the machine
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Papers by Jose Antonino