Spectrum Analysis of Sidebands in Industrial Drives

2015 ◽  
Vol 5 (2) ◽  
pp. 1-13
Author(s):  
K. Vinoth Kumar ◽  
S. Suresh Kumar ◽  
A. Immanuel Selvakumar
Keyword(s):  
Abnormal Behavior ◽  
Voltage Unbalance ◽  
Broken Rotor Bars ◽  
Stator Windings ◽  
Stator Current ◽  
Three Phase ◽  
Motor Current Signature Analysis ◽  
Harmonic Components ◽  
Current Signature ◽  
Good Agreement

This paper deals with the diagnosis of induction motors (IM) with the so-called motor current signature analysis (MCSA). The MCSA is one of the most efficient techniques for the detection and the localization of electrical and mechanical failures, in which faults become apparent by harmonic components around the supply frequency. This paper presents a summary of the most frequent faults and its consequences on the stator current spectrum of an IM. A three-phase IM model was used for simulation taking into account in one hand the normal healthy operation and in the other hand the broken rotor bars, the shorted turns in the stator windings, the voltage unbalance between phases of supply and the abnormal behavior of load. The MCSA is used by many authors in literature for faults detection of IM. The major contribution of this work is to prove the efficiency of this diagnosis methodology to detect different faults simultaneously, in normal and abnormal functional conditions. The results illustrate good agreement between both simulated and experimental results.

Analysis of Sidebands Failures in Asynchronous Drives

2019 ◽  
pp. 62-76
Author(s):  
K. Vinoth Kumar ◽  
Prawin Angel Michael
Keyword(s):  
Induction Motors ◽  
Abnormal Behavior ◽  
Voltage Unbalance ◽  
Stator Windings ◽  
Stator Current ◽  
Three Phase ◽  
Motor Current Signature Analysis ◽  
Im Model ◽  
Harmonic Components ◽  
Current Signature

This chapter deals with the diagnosis of induction motors (IM) with the so-called motor current signature analysis (MCSA). The MCSA is one of the most efficient techniques for the detection and the localization of electrical and mechanical failures, in which faults become apparent by harmonic components around the supply frequency. This chapter presents a summary of the most frequent faults and its consequences on the stator current spectrum of an IM. A three-phase IM model was used for simulation taking into account in one hand the normal healthy operation and in the other hand the broken rotor bars, the shorted turns in the stator windings, the voltage unbalance between phases of supply, and the abnormal behavior of load. The MCSA is used by many authors in literature for faults detection of IM. The major contribution of this work is to prove the efficiency of this diagnosis methodology to detect different faults simultaneously, in normal and abnormal functional conditions. The results illustrate good agreement between both simulated and experimental results.

Mechanical Protection of Induction Motors by Off-the-Shelf Electrical Protective Relays

2011 ◽  
Vol 12 (2) ◽  
Author(s):  
Mojtaba Khederzadeh
Keyword(s):  
Induction Motors ◽  
Full Detail ◽  
Broken Rotor Bars ◽  
Stator Windings ◽  
Motor Current ◽  
Motor Current Signature Analysis ◽  
Mechanical Faults ◽  
Protective Relays ◽  
Numerical Relay ◽  
Current Signature

In this paper, a novel idea is presented to apply off-the-shelf commercial protective relays, widely used to protect induction motors against different electrical and thermal faults, to detect mechanical faults as a complementary capability. In other words, the available protective relays can be configured to protect induction motors against mechanical abnormalities in addition to their normal duty to detect electrical and thermal faults. To support the idea, the current and vibration signals are generated by sophisticated modeling of the motor for different faults and then the simulated signals are injected to a numerical relay simulator designed in full detail to resemble a commercial relay. It is shown that some mechanical faults like broken rotor bars and shorted stator windings can be diagnosed by the relay using the Motor Current Signature Analysis (MCSA). Other mechanical abnormalities harder to detect by MCSA would be diagnosed by using vibration analysis as a complementary tool to MCSA. In the latter case, an extra input (vibration) is needed to be delivered to the relay. Simulation results verify the presented analysis used for modeling healthy/faulty motor and the designed relay simulator.

scholarly journals Area-Based Approach in Power Quality Assessment

2008 ◽  
Vol 2008 ◽  
pp. 1-6 ◽  
Author(s):  
Surajit Chattopadhyay ◽  
Samarjit Sengupta ◽  
Madhuchhanda Mitra
Keyword(s):  
Power Quality ◽  
Quality Parameters ◽  
Computational Effort ◽  
Phase System ◽  
Transformation Technique ◽  
Three Phase ◽  
Harmonic Voltage ◽  
Park Transformation ◽  
Harmonic Components ◽  
Good Agreement

This paper presents an approach for assessment of power quality parameters using analysis of fundamental and harmonic voltage and current waveforms. Park transformation technique has been utilized for the analysis in three-phase system, which has reduced the computational effort to a great extent. Contributions of fundamental and harmonic components in power system voltage and current signals have been assessed separately. An algorithm has been developed to calculate the power quality parameters from online signals. This algorithm has been simulated for a radial system, and the results have been compared with that obtained from a standard FFT-based system. The results are seen to be in good agreement with that of the standard system.

scholarly journals Early Detection of Broken Rotor Bars in Inverter-Fed Induction Motors Using Speed Analysis of Startup Transients

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1469
Author(s):  
Tomas A. Garcia-Calva ◽  
Daniel Morinigo-Sotelo ◽  
Vanessa Fernandez-Cavero ◽  
Arturo Garcia-Perez ◽  
Rene de J. Romero-Troncoso
Keyword(s):  
Induction Motors ◽  
Electrical Machines ◽  
Signature Analysis ◽  
Time Frequency ◽  
Stator Current ◽  
Analysis Methodology ◽  
Fault Severity ◽  
Motor Current Signature Analysis ◽  
Stationary Conditions ◽  
Current Signature

The fault diagnosis of electrical machines during startup transients has received increasing attention regarding the possibility of detecting faults early. Induction motors are no exception, and motor current signature analysis has become one of the most popular techniques for determining the condition of various motor components. However, in the case of inverter powered systems, the condition of a motor is difficult to determine from the stator current because fault signatures could overlap with other signatures produced by the inverter, low-slip operation, load oscillations, and other non-stationary conditions. This paper presents a speed signature analysis methodology for a reliable broken rotor bar diagnosis in inverter-fed induction motors. The proposed fault detection is based on tracking the speed fault signature in the time-frequency domain. As a result, different fault severity levels and load oscillations can be identified. The promising results show that this technique can be a good complement to the classic analysis of current signature analysis and reveals a high potential to overcome some of its drawbacks.

scholarly journals Studying and Simulating the Influence of the Rotor Fault on Stator Current

2020 ◽  
Vol 17 (1) ◽  
pp. 17-21
Author(s):  
Katalin Ágoston
Keyword(s):  
Equivalent Circuit ◽  
Frequency Spectrum ◽  
Induction Motors ◽  
Signature Analysis ◽  
Stator Current ◽  
Motor Current ◽  
Squirrel Cage ◽  
Motor Current Signature Analysis ◽  
Cage Rotor ◽  
Current Signature

AbstractThis paper presents fault detection techniques, especially the motor current signature analysis (MCSA) which consists of the phase current measurement of the electrical motor’s stator and/or rotor. The motor current signature analysis consists in determining the frequency spectrum (FFT) of the stator current signal and evaluating the relative amplitude of the current harmonics. Sideband frequencies appear in the frequency spectrum of the current, corresponding to each fault. The broken bar is a frequent fault in induction motors with squirrel-cage rotor. It is presented the equivalent circuit for induction motors and the equivalence between the squirrel-cage rotor and the rotor windings. It is also presented an equivalent circuit model for induction motors with squirrel cage rotor, and based on this a Simulink model was developed. It is shown how a broken rotor bar influences the magnetic field around the rotor and through this the stator current. This modification is highlighted through the developed model.

Diagnostics of Stator Winding Faults in a Three-Phase Asynchronous Motor Using Park’s Vector Analysis

Vestnik MEI ◽  
2021 ◽  
pp. 69-74
Author(s):  
Muhammad Deeb ◽  
◽  
Gassan Ibragim ◽  
Talal Assaf ◽  
◽  
...  
Keyword(s):  
Induction Motor ◽  
Short Circuit ◽  
Asynchronous Motor ◽  
Vector Model ◽  
Stator Winding ◽  
Stator Windings ◽  
Stator Current ◽  
Experimental Part ◽  
Three Phase ◽  
Short Circuit Fault

The study addresses the problem of detecting a short circuit fault in the three-phase induction motor winding by monitoring the stator current Park vector (Lissajous curves). Park's vector model is implemented using the Matlab software package. The experimental part of the study was carried out on an 11 kW three-phase induction motor. The Lissajous curves obtained for a healthy motor and a motor with short-circuited turns under various load conditions were compared with each other. The obtained results have demonstrated the effectiveness of the proposed method for detecting interturn short circuit faults in the three-phase stator windings of induction motors.

scholarly journals Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3721 ◽  
Author(s):  
Martin Valtierra-Rodriguez ◽  
Jesus R. Rivera-Guillen ◽  
Jesus A. Basurto-Hurtado ◽  
J. Jesus De-Santiago-Perez ◽  
David Granados-Lieberman ◽  
...  
Keyword(s):  
Induction Motors ◽  
Transient State ◽  
Operating Conditions ◽  
Signature Analysis ◽  
Broken Rotor Bar ◽  
Time Frequency ◽  
Broken Rotor Bars ◽  
Motor Current ◽  
Motor Current Signature Analysis ◽  
Current Signature

Although induction motors (IMs) are robust and reliable electrical machines, they can suffer different faults due to usual operating conditions such as abrupt changes in the mechanical load, voltage, and current power quality problems, as well as due to extended operating conditions. In the literature, different faults have been investigated; however, the broken rotor bar has become one of the most studied faults since the IM can operate with apparent normality but the consequences can be catastrophic if the fault is not detected in low-severity stages. In this work, a methodology based on convolutional neural networks (CNNs) for automatic detection of broken rotor bars by considering different severity levels is proposed. To exploit the capabilities of CNNs to carry out automatic image classification, the short-time Fourier transform-based time–frequency plane and the motor current signature analysis (MCSA) approach for current signals in the transient state are first used. In the experimentation, four IM conditions were considered: half-broken rotor bar, one broken rotor bar, two broken rotor bars, and a healthy rotor. The results demonstrate the effectiveness of the proposal, achieving 100% of accuracy in the diagnosis task for all the study cases.

scholarly journals Harmonics of Double-fed Wind Power System with Grid-Tied Dual-PWM Converter

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Current Data ◽  
Pwm Converter ◽  
Stator Current ◽  
Three Phase ◽  
Double Fourier Transform ◽  
Wind Power System ◽  
Harmonic Components ◽  
Grid Side

To fill the gaps of the double-fed wind power system, this paper conducts a study for the scarcity and integration of social resources. The LF harmonics on the DC and grid sides are surveyed based on the double Fourier transform algorithm, in conjunction with the power balance theory. A study model has also been built herein. The findings show that the calculated values of the HF harmonic components in the DFIG rotor current almost coincide with the simulation results, regardless of whether the wind velocity is 7 m/s or 19 m/s. When the three-phase voltage of the grid is unbalanced, the stator current contains the grid side basebands with LF harmonics of odd times, among which, the fundamental frequency of triple grid side baseband is the most distinct. It is thus clear that the simulation can capture relevant voltage and current data for the wind power system running in the balance and unbalanced states of grid voltages. it is therefore proved that the theoretical analysis is accurate and reliable.

Exploration of Composite Solar and Wind Power Generation Device Control

2013 ◽  
Vol 724-725 ◽  
pp. 52-56
Author(s):  
Lian Zhong Zhang
Keyword(s):  
Power Generation ◽  
Control System ◽  
Wind Turbine ◽  
Wind Power ◽  
Wind Power Generation ◽  
Voltage Unbalance ◽  
Stator Windings ◽  
Stator Current ◽  
Fault Ride Through ◽  
Power Generation Device

Recently, Solar energy and wind energy composite wind turbine by a number of studies have been carried out to examine the fault-ride through capability of the DFIG system during network disturbance. Whereas for all the work reported, the network voltage was assumed to be symmetrical. However, in practice, asymmetric faults occur more frequently than symmetric ones. For a DFIG system, if the voltage unbalance is not considered in the control system, the stator current could be highly unbalanced even with a small unbalanced stator voltage. The unbalanced currents create unequal heating among stator windings and torque pulsation in the generator. A wind-turbine driven DFIG without unbalancing voltage control considered might have to be disconnected from the network during network voltage unbalance.

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