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.

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.

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.

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 Analysis of Induction Motor Performance Using Motor Current Signature Analysis Technique

2021 ◽  
Vol 5 (1) ◽  
pp. PRESS
Author(s):  
Ramadoni Syahputra ◽  
Hedi Purwanto ◽  
Rama Okta Wiyagi ◽  
Muhamad Yusvin Mustar ◽  
Indah Soesanti
Keyword(s):  
Power Plant ◽  
Induction Motor ◽  
Induction Motors ◽  
Signature Analysis ◽  
Steam Power ◽  
Reliable Technique ◽  
Steam Power Plant ◽  
Motor Current ◽  
Motor Current Signature Analysis ◽  
Current Signature

This paper discusses the analysis of the performance of an induction motor using the motor current signature analysis (MCSA) technique. Induction motor is a type of electric machine that is widely used in industry. One of the industries that utilize induction motors is a steam power plant (SPP). The role of induction motors is very vital in SPP operations. Therefore, it is necessary to monitor the performance, stability, and efficiency to anticipate disturbances that can cause damage or decrease the life of the induction motor. MCSA is a reliable technique that can be used to analyze damage to an induction motor. In this technique, the induction motor current signal is detected using a current transducer. The signal is then passed on to the signal conditioning and then into the data acquisition device. The important signal data is analyzed in adequate computer equipment. The results of this analysis determine the condition of the induction motor, whether it is normal or damaged. In this research, a case study was carried out at the Rembang steam power plant, Central Java, Indonesia. The results of the analysis of several induction motors show that most of them are in normal conditions and are still feasible to operate.

scholarly journals New Spectral Markers for Broken Bars Diagnostics in Induction Motors

Machines ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 6 ◽  
Author(s):  
Georgii D. Baranov ◽  
Erivelton G. Nepomuceno ◽  
Michail A. Vaganov ◽  
Valerii Y. Ostrovskii ◽  
Denis N. Butusov
Keyword(s):  
Induction Motor ◽  
Induction Motors ◽  
Simulation Analysis ◽  
Real Life ◽  
Motor Current ◽  
Deterioration Process ◽  
Motor Current Signature Analysis ◽  
The Given ◽  
Current Signature ◽  
Theoretical Results

The paper discusses the spectral markers of fault rotor bars in induction motor current signature analysis (MCSA). The results of the simulation of the deterioration process for a single rotor bar, as well as the results of research for various mutual bracing of two broken bars, are reported. We proposed a simple empiric technique allowing one to obtain frequencies for spectrum markers of damaged rotor bars based on simulation analysis. The set of frequencies obtained in the experimental part of the study was compared with simulation results and the results of real-life measurements. The theoretical results were verified through the experiment with the real induction motor under load. Analysis of experimental results proved that the given algorithm for spectrum analysis is suitable for early detection of fault rotor bars in induction motors.

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