Non-invasive torque estimation for broken bar detection in induction motors

2003 ◽  
Author(s):  
M. Eltabach ◽  
A. Charara ◽  
I. Zein
Keyword(s):  
Induction Motors ◽  
Non Invasive ◽  
Torque Estimation ◽  
Broken Bar Detection

scholarly journals Increasing Electric Vehicles Reliability by Non-Invasive Diagnosis of Motor Winding Faults

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2510
Author(s):  
Konrad Górny ◽  
Piotr Kuwałek ◽  
Wojciech Pietrowski
Keyword(s):  
Electric Vehicles ◽  
Diagnostic Method ◽  
Induction Motors ◽  
Early Stage ◽  
Short Circuit ◽  
Damage Classification ◽  
Non Invasive ◽  
Signal Features ◽  
Empirical Wavelet Transform ◽  
Simulation Results

The article proposes a proprietary approach to the diagnosis of induction motors allowing increasing the reliability of electric vehicles. This approach makes it possible to detect damage in the form of an inter-turn short-circuit at an early stage of its occurrence. The authors of the article describe an effective diagnostic method using the extraction of diagnostic signal features using an Enhanced Empirical Wavelet Transform and an algorithm based on the method of Ensemble Bagged Trees. The article describes in detail the methodology of the carried out research, presents the method of extracting features from the diagnostic signal and describes the conclusions resulting from the research. Phase current waveforms obtained from a real object as well as simulation results based on the field-circuit model of an induction motor were used as a diagnostic signal in the research. In order to determine the accuracy of the damage classification, simple metrics such as accuracy, sensitivity, selectivity, precision as well as complex metrics weight F1 and macro F1 were used.

scholarly journals Combination of non-invasive approaches for general assessment of induction motors

2014 ◽  
Author(s):  
M.J. Picazo-Rodenas ◽  
J. Antonino-Daviu ◽  
V. Climente-Alarcon ◽  
R. Royo-Pastor ◽  
A. Mota-Villar
Keyword(s):  
Induction Motors ◽  
Non Invasive

Induction Motor Conditional Monitoring Using Wireless Sensor Network

2014 ◽  
Vol 626 ◽  
pp. 95-100 ◽  
Author(s):  
P. Shoba ◽  
B. Arivuselvam
Keyword(s):  
Wireless Sensor Network ◽  
Embedded System ◽  
Sensor Network ◽  
Output Voltage ◽  
Wireless Sensor ◽  
Maintenance Cost ◽  
Output Current ◽  
Non Invasive ◽  
Torque Estimation ◽  
The Embedded System

This system is used for monitoring the speed, torque, efficiency, voltage & current by employing ZigBee based wireless sensor network. Embedded system is used for acquiring electrical signals from the motors in a non-invasive way. The speed and torque estimation is done locally. An embedded system is used to control the speed of the motor the values calculated by the embedded system are transmitted to the monitoring unit through ZigBee based wireless sensor network and it can be monitored locally in PC. The main advantages of using ZigBee are low maintenance cost, security, reliability and through output. Using simulation, the characteristic graph for speed, torque, output voltage and output current can be obtained.

scholarly journals Detection of Mechanical Abnormalities in Induction Motors by Electric Measurements

1999 ◽  
Vol 5 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Andrzej M. Trzynadlowski
Keyword(s):  
Induction Motors ◽  
Input Power ◽  
Motor Drives ◽  
Operating Conditions ◽  
Induction Motor Drives ◽  
Non Invasive ◽  
Stator Current ◽  
Rotor Imbalance ◽  
Rotor Cage ◽  
Invasive Diagnostics

The paper gives an overview of the issues and means of detection of mechanical abnormalities in induction motors by electric measurements. If undetected and untreated, the worn or damaged bearings, rotor imbalance and eccentricity, broken bars of the rotor cage, and torsional and lateral vibration lead to roughly a half of all failures of induction motor drives. The detection of abnormalities is based on the fact that they cause periodic disturbance of motor variables, such as the speed, torque, current, and magnetic flux. Thus, spectral analysis of those or related quantities may yield a warning about an incipient failure of the drive system. Although the traditional non-invasive diagnostics has mostly been based on the signature analysis of the stator current, other media can also be employed. In particular, the partial instantaneous input power is shown, theoretically and experimentally, to offer distinct advantages under noisy operating conditions. Use of torque and flux estimates is also discussed.

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