Separation of induction motor rotor faults and low frequency load oscillations through the radial leakage flux

In this paper, a stator inductance identification process is proposed. The process is based on a three-level neutral-point-clamped (NPC) inverter-fed induction motor (IM) drive with a standstill condition. Previously, a low-speed alternating current (AC) injection test for stator inductance identification was proposed to overcome practical problems in conventional identification methods for three-level NPC inverter-based IM drives. However, the low-speed AC injection test-based identification method has some problems if a heavy load or mechanical brake is connected, as these can forcibly bring the rotor to a standstill during parameter identification. Since this low-speed testing-based identification assumes the motor torque is considerably lower in low-speed operations, some inaccuracy is inevitable in this kind of standstill condition. In this paper, the proposed current injection speed generator is based on the previously studied low-speed test-based stator inductance identification method, but the proposed approach gives more accurate estimates under the aforementioned standstill conditions. The proposed method regulates the speed for sinusoidal low-frequency AC injection on the basis of the instantaneous reactive and air-gap active power ratio. This proposed stator inductance identification method is more accurate than conventional fixed low-frequency AC signal injection identification method for three-level NPC inverter-fed IM drive systems with a locked-rotor standstill condition. The proposed method’s accuracy and reliability were verified by simulation and experiment using an 18.5 kW induction motor.

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Reliable detection of rotor faults under the influence of low frequency load torque oscillations for applications with speed reduction couplings

2015 IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) ◽

10.1109/demped.2015.7303669 ◽

2015 ◽

Cited By ~ 5

Author(s):

Heonyoung Kim ◽

Sang Bin Lee ◽

Sung Bong Park ◽

Shahin Hedayati Kia ◽

Gerard-Andre Capolino

Keyword(s):

Low Frequency ◽

Load Torque ◽

Speed Reduction ◽

Rotor Faults ◽

Reliable Detection

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Frequency converter influence on induction motor rotor faults detection using motor current signature analysis-experimental research

4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003. SDEMPED 2003. ◽

10.1109/demped.2003.1234559 ◽

2003 ◽

Cited By ~ 4

Author(s):

A. Miletic ◽

M. Cettolo

Keyword(s):

Induction Motor ◽

Experimental Research ◽

Frequency Converter ◽

Signature Analysis ◽

Motor Current ◽

Rotor Faults ◽

Motor Current Signature Analysis ◽

Current Signature

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Detection of Stator and Rotor Faults in Asynchronous Motor Using Artificial Intelligence Method

Advances in Computer and Electrical Engineering - Soft-Computing-Based Nonlinear Control Systems Design ◽

10.4018/978-1-5225-3531-7.ch013 ◽

2018 ◽

pp. 278-285

Author(s):

K. Vinoth Kumar ◽

Prawin Angel Michael

Keyword(s):

Induction Motor ◽

Asynchronous Motor ◽

Feed Forward Neural Network ◽

Identification Scheme ◽

Hardware System ◽

Rotor Faults ◽

Squirrel Cage ◽

Three Phase ◽

Neural Network Structure ◽

Trained Network

This chapter deals with the implementation of a PC-based monitoring and fault identification scheme for a three-phase induction motor using artificial neural networks (ANNs). To accomplish the task, a hardware system is designed and built to acquire three phase voltages and currents from a 3.3KW squirrel-cage, three-phase induction motor. A software program is written to read the voltages and currents, which are first used to train a feed-forward neural network structure. The trained network is placed in a Lab VIEW-based program formula node that monitors the voltages and currents online and displays the fault conditions and turns the motor. The complete system is successfully tested in real time by creating different faults on the motor.

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A Novel Vector Control Strategy for a Six-Phase Induction Motor with Low Torque Ripples and Harmonic Currents

Energies ◽

10.3390/en12061102 ◽

2019 ◽

Vol 12 (6) ◽

pp. 1102 ◽

Cited By ~ 6

Author(s):

Hamidreza Heidari ◽

Anton Rassõlkin ◽

Toomas Vaimann ◽

Ants Kallaste ◽

Asghar Taheri ◽

...

Keyword(s):

Vector Control ◽

Induction Motor ◽

Control Strategy ◽

High Performance ◽

Direct Torque Control ◽

Low Frequency ◽

Torque Control ◽

Harmonic Currents ◽

Torque Ripples ◽

Vector Control Strategy

In this paper, a new vector control strategy is proposed to reduce torque ripples and harmonic currents represented in switching table-based direct torque control (ST-DTC) of a six-phase induction motor (6PIM). For this purpose, a new set of inputs is provided for the switching table (ST). These inputs are based on the decoupled current components in the synchronous reference frame. Indeed, using both field-oriented control (FOC) and direct torque control (DTC) concepts, precise inputs are applied to the ST in order to achieve better steady-state torque response. By applying the duty cycle control strategy, the loss subspace components are eliminated through a suitable selection of virtual voltage vectors. Each virtual voltage vector is based on a combination of a large and a medium vector to make the average volt-seconds in loss subspace near to zero. Therefore, the proposed strategy not only notably reduces the torque ripples, but also suppresses the low frequency current harmonics, simultaneously. Simulation and experimental results clarify the high performance of the proposed scheme.

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Stator Inductance Identification Based on Low-Speed Tests for Three-Level NPC Inverter-Fed Induction Motor Drives

Electronics ◽

10.3390/electronics9010183 ◽

2020 ◽

Vol 9 (1) ◽

pp. 183 ◽

Cited By ~ 2

Author(s):

Yerganat Khojakhan ◽

Kyoung-Min Choo ◽

Chung-Yuen Won

Keyword(s):

Induction Motor ◽

Reactive Power ◽

Low Frequency ◽

Test Drive ◽

Identification Process ◽

Low Speed ◽

Speed Test ◽

Simulation And Experiment ◽

Sinusoidal Current ◽

Stator Flux

This paper proposes a stator inductance identification process for three-level neutral point clamped (NPC), inverter-fed Induction Motor (IM) drives based on a low-speed test drive. Conventionally, the stator inductance of an IM is identified by methods based on standstill or rotational tests. Since conventional standstill test-based methods have several practical problems when used with three-level inverters because of their nonlinearity, an identification method based on rotational tests is superior in such applications. However, conventional rotational tests cause unintended behavior because of the high speeds used during the test. In the proposed stator inductance identification process, the stator inductance is identified based on a low-speed test drive. In the proposed method, the stator flux is estimated using the instantaneous reactive power of the IM during low-frequency sinusoidal current excitation, and the stator inductance is then identified based upon this. Therefore, the proposed identification process is safer than conventional approaches, as it uses only a low-speed test. The accuracy and reliability of this method are verified by simulation and experiment using three motors with different rated voltage and power.

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