scholarly journals Practical Aspects of Broken Rotor Bars Detection in PWM Voltage-Source-Inverter-Fed Squirrel-Cage Induction Motors

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Hong-yu Zhu ◽  
Jing-tao Hu ◽  
Lei Gao ◽  
Hao Huang
Keyword(s):  
Induction Motors ◽  
Control Method ◽  
Characteristic Curve ◽  
Voltage Source ◽  
Switching Function ◽  
Signal Acquisition ◽  
Spectrum Estimation ◽  
Function Concept ◽  
Broken Rotor Bars ◽  
Squirrel Cage

Broken rotor bars fault detection in inverter-fed squirrel cage induction motors is still as difficult as the dynamics introduced by the control system or the dynamically changing excitation (stator) frequency. This paper introduces a novel fault diagnosis techniques using motor current signature analysis (MCSA) to solve the problems. Switching function concept and frequency modulation theory are firstly used to model fault current signal. The competency of the amplitude of the sideband components at frequencies (1±2s)fsas indices for broken bars recognition is subsequently studied in the controlled motor via open-loop constant voltage/frequency control method. The proposed techniques are composed of five modules of anti-aliasing signal acquisition, optimal-slip-estimation based on torque-speed characteristic curve of squirrel cage motor with different load types, fault characteristic frequency determination, nonparametric spectrum estimation, and fault identification for achieving MCSA efficiently. Experimental and simulation results obtained on 3 kW three-phase squirrel-cage induction motors show that the model and the proposed techniques are effective and accurate.

scholarly journals Adaptive Smart Control Method for Electric Vehicle Wireless Charging System

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2685 ◽  
Author(s):  
Lingbing Gong ◽  
Chunyan Xiao ◽  
Bin Cao ◽  
Yuliang Zhou
Keyword(s):  
Control System ◽  
Control Method ◽  
Characteristic Curve ◽  
Constant Current ◽  
Voltage Source ◽  
Wireless Charging ◽  
Charging Time ◽  
Multi Stage ◽  
Smart Charging ◽  
Smart Control

In order to shorten the wireless charging time of electric vehicles (EVs) and achieve stable charging, an adaptive smart control method for EV wireless charging is proposed in the paper. The method dynamically tracks the rechargeable battery state during the whole charging process, realizes multi-stage charging of constant current (CC) or constant voltage (CV) by switching two kinds of compensation networks of bilateral L3C and L3C-C, and regulates the charging voltage and current to make it as close as possible to the battery charging characteristic curve. This method can be implemented because the voltage source connected to the coupler and the compensation networks of bilateral L3C and L3C-C have the CC and CV source characteristics, respectively. On the basis of the established adaptive smart control system of EV wireless charging, the experiments of wireless data transmission and adaptive smart charging were conducted. The results showed that the designed control system had a response time of less than 200 ms and strong anti-interference ability and it shortened the charging time by about 16% compared with the time using traditional charging methods, thereby achieving a fast, stable, safe, and complete wireless charging process.

Induction motors broken rotor bars detection using RPVM and neural network

2019 ◽  
Vol 38 (2) ◽  
pp. 596-615 ◽  
Author(s):  
Saddam Bensaoucha ◽  
Sid Ahmed Bessedik ◽  
Aissa Ameur ◽  
Ali Teta
Keyword(s):  
Design Methodology ◽  
Induction Motors ◽  
Content Type ◽  
Broken Rotor Bars ◽  
Squirrel Cage ◽  
Detection And Identification ◽  
Squirrel Cage Induction Motor ◽  
Simulation Results ◽  
Cage Induction Motor ◽  
Diagnosis Technique

Purpose The purpose of this study aims to focus on the detection and identification of the broken rotor bars (BRBs) of a squirrel cage induction motor (SCIM). The presented diagnosis technique is based on artificial neural networks (NNs) that use as inputs the results of the spectral analysis using the fast Fourier transform (FFT) of the reduced Park’s vector modulus (RPVM), along with the load values in which the motor operates. Design/methodology/approach First, this paper presents a comparative study between FFT applied on Hilbert modulus, Park’s vector modulus and RPVM to extract feature frequencies of BRB faults. Moreover, the extracted features of FFT applied to RPVM and the load values were selected as NNs’ inputs for the detection of the number of BRBs. Findings The obtained simulation results using MATLAB (Matrix Laboratory) environment show the effectiveness and accuracy of the proposed NNs based approach. Originality/value The current paper presents a novel diagnostic method for BRBs’ fault detection in SCIM, based on the combination between the signal processing analysis (FFT of RPVM) and artificial intelligence (NNs).

Evaluation of the detectability of broken rotor bars for double squirrel cage rotor induction motors

2010 ◽  
Author(s):  
Jongbin Park ◽  
Byunghwan Kim ◽  
Jinkyu Yang ◽  
Sang Bin Lee ◽  
Ernesto J. Wiedenbrug ◽  
...  
Keyword(s):  
Induction Motors ◽  
Broken Rotor Bars ◽  
Squirrel Cage ◽  
Cage Rotor

Assessing the Consequences of Induction Motor Failures Caused by Broken Bars of Squirrel-Cage Rotor Windings

2021 ◽  
pp. 12-20
Author(s):  
Alexandr N. NAZARYCHEV ◽  
◽  
Alexandr S. STRAKHOV ◽  
Evgeniy M. NOVOSELOV ◽  
Denis A. POLKOSHNIKOV ◽  
...  
Keyword(s):  
Power Plant ◽  
High Voltage ◽  
Induction Motors ◽  
Economic Damage ◽  
Term Operation ◽  
Broken Rotor Bars ◽  
Squirrel Cage ◽  
Study Results ◽  
Rotor Winding ◽  
Cage Rotor

Despite the great attention paid by Russian and foreign authors to the problem of timely fault detection in the squirrel-cage rotor windings of high-voltage induction motors, the papers published by them pay little attention to issues related to substantiating the need for carrying out the relevant studies. However, this is especially important for high-voltage electric motors used in power plant auxiliaries. The aim of the study is to assess the consequences from failure of induction motors used in power plant auxiliaries caused by a break of the rotor winding bars. Assessment of the failure consequences is an important component of the transition to risk-oriented management of induction motors operation. The main components of the failure consequences and the resulting economic damage are identified. It is shown that failures of high-voltage induction motors caused by broken rotor bars can lead to economic damage of several million rubles. It has been found, based on computer simulation results, that during operation of induction motors with broken rotor bars, their magnetic and electrical losses increase significantly. The study results have shown that the economic damage may also be significant during long-term operation of a large number of induction motors with this type of failure. The accomplished assessment of the failure consequences in money terms confirms the relevance and necessity to perform functional monitoring of the state of the rotor windings of high-voltage induction motors used in the system of power plant auxiliaries.

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