scholarly journals Three-Phase Induction Motors Online Protection against Unbalanced Supply Voltages

Machines ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 203
Author(s):  
Khaled Laadjal ◽  
Mohamed Sahraoui ◽  
Abdeldjalil Alloui ◽  
Antonio J. Marques Cardoso
Keyword(s):  
Working Conditions ◽  
Reliable Method ◽  
Induction Motors ◽  
Operating Conditions ◽  
Common Condition ◽  
Industrial Facilities ◽  
Industrial Plants ◽  
Severity Estimation ◽  
Three Phase ◽  
Supply Voltages

Three-phase induction motors (IMs) are the main workhorse in industry due to their many advantages as compared to other types of industrial motors. However, the efficiency and lifetime of IMs can be considerably affected by some operating conditions, in particular those related to unbalanced supply voltages (USV), which is quite a common condition in industrial plants. Therefore, early detection and a precise severity estimation of the USV for all working conditions can prevent major breakdowns and increase reliability and safety of industrial facilities. This paper proposes a reliable method allowing for a precise and online detection of the USV condition, by monitoring a pertinent indicator calculated using the voltage symmetrical components. The effectiveness of the proposed method is validated experimentally for several different working conditions, and a comparison with other indicators available in the literature is also performed.

scholarly journals Mutual Information and Meta-Heuristic Classifiers Applied to Bearing Fault Diagnosis in Three-Phase Induction Motors

2020 ◽  
Vol 11 (1) ◽  
pp. 314
Author(s):  
Gustavo Henrique Bazan ◽  
Alessandro Goedtel ◽  
Marcelo Favoretto Castoldi ◽  
Wagner Fontes Godoy ◽  
Oscar Duque-Perez ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Mutual Information ◽  
Induction Motors ◽  
Operating Conditions ◽  
Industrial Systems ◽  
Bearing Fault Diagnosis ◽  
Bee Colony ◽  
Three Phase ◽  
C4.5 Decision Tree ◽  
The Time Domain

Three-phase induction motors are extensively used in industrial processes due to their robustness, adaptability to different operating conditions, and low operation and maintenance costs. Induction motor fault diagnosis has received special attention from industry since it can reduce process losses and ensure the reliable operation of industrial systems. Therefore, this paper presents a study on the use of meta-heuristic tools in the diagnosis of bearing failures in induction motors. The extraction of the fault characteristics is performed based on mutual information measurements between the stator current signals in the time domain. Then, the Artificial Bee Colony algorithm is used to select the relevant mutual information values and optimize the pattern classifier input data. To evaluate the classification accuracy under various levels of failure severity, the performance of two different pattern classifiers was compared: The C4.5 decision tree and the multi-layer artificial perceptron neural networks. The experimental results confirm the effectiveness of the proposed approach.

A Review of Transient Electrical Upsets in Induction Motors and Their Effects on Centrifugal Compressors

2013 ◽  
Author(s):  
Michael Moeller ◽  
Anand Srinivasan
Keyword(s):  
High Speed ◽  
Induction Motors ◽  
Selection Process ◽  
Global Strategy ◽  
Operating Conditions ◽  
Drive Train ◽  
Centrifugal Compressors ◽  
Two Phase ◽  
Industry Standards ◽  
Three Phase

For several decades in the process industry, critical plant operations demanding continuous run time have used high speed turbocompressors, most commonly driven by induction motors. Transient disturbances, caused by grid and motor-terminal upsets, are common occurrences in three-phase induction motors. Such upsets can arise during start-up as well as steady state operating conditions, and can have an impact on the driven equipment. Common upset conditions include startup line bursts, voltage unbalances, two-phase & three-phase short circuits, and bus-transfers & reclosures. These transient upsets not only impact the motor, but also have a torsional influence on the motor-compressor drive-train. Understanding the significance of these upsets, and how it impacts the driven equipment is thus an important part of machinery design and the component selection process for centrifugal compressors. This paper presents a qualitative approach to analyzing these transient conditions arising from induction motors, and the resulting effects on driven equipment such as centrifugal compressors. As the compression industry continues to develop into a globally integrated market, it becomes even more important to understand these effects; to ensure that a consistent global strategy exists to control these upsets and to mitigate some of the ill-effects resulting from torsional bursts on the drive train. A review of the current industry standards and mitigation techniques has also been presented.

Three-Phase and Single-Phase p-q Theories Applied to Three-Phase Shunt Active Power Filter under Different Operating Conditions: A Comparative Evaluation

2010 ◽  
Vol 11 (2) ◽  
Author(s):  
Vinod Khadkikar ◽  
Ambrish Chandra
Keyword(s):  
Comparative Evaluation ◽  
Single Phase ◽  
Active Power Filter ◽  
Active Power ◽  
Operating Conditions ◽  
Shunt Active Power Filter ◽  
Power Filter ◽  
Q Theory ◽  
Three Phase ◽  
Supply Voltages

This paper deals with a shunt active power filter (APF) realized using three-phase p-q (3-φ p-q) theory and single-phase p-q (1-φ p-q) theory approaches. A comparative evaluation between two p-q theories, applied to three-phase three-wire system, is presented. An in-depth simulation study is carried out for better understanding of the concepts and to explore the factors that affect the performance of both the theories. A shunt APF system is developed and tested using a DSP DS1104 of dSPACE. An extensive experimental investigation is carried out under balanced and/or unbalanced supply voltages, and balanced and/or unbalanced load conditions. It is found that both the p-q theories perform well under balanced supply voltages and balanced non-linear load condition, but, their performance degrades when supply voltages are highly distorted. The 3-φ p-q theory has advantage over 1-φ p-q theory when the load is unbalanced in nature. However, under unbalanced voltages, 3-φ p-q theory fails to demonstrate its ability to compensate the load current harmonics and reactive power, whereas, 1-φ p-q theory gives better performance.

scholarly journals An Extended Kalman Filter, with pre-adjusted covariance matrices, applied to the sensorless speed control of three-phase induction motors

2020 ◽  
pp. 109-126
Author(s):  
Leonardo de Magalhães Lopes ◽  
Zélia Myriam Assis Peixoto
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Induction Motors ◽  
Sensorless Control ◽  
Speed Control ◽  
Covariance Matrices ◽  
Operating Conditions ◽  
Control Technique ◽  
State Variables ◽  
Three Phase

With the emergence of sensorless control methods, there was a need for the use of estimators and/or state observers to give it the robustness and precision required in the drive of induction motors. This work deals with the application of the Extended Kalman Filter (EKF) in the estimation of rotor speed and position, aiming at the implementation of the indirect vector control technique in a sensorless speed control system for three-phase induction motors. The mathematical development of the system state variables associated with the EKF stochastic process is presented in this study, and point out its application under variable speed and load conditions, which are imposed on these motors in everyday life. The sensorless control strategy was tested through routine lines in the Matlab® software, simulating operating conditions of this type of engine, being proven its performance, as well as the convergence times consistent with the usual requirements of high performance systems. The main contributions of this work are the use of a reduced-order EKF (ROEKF) and the preset of covariance matrices to accelerate convergence in speed and position estimates for future implementations in currently accessible digital signal processors.

scholarly journals Thermal Analysis of Low-Power Three-Phase Induction Motors Operating under Voltage Unbalance and Inter-Turn Short Circuit Faults

Machines ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 2
Author(s):  
Amel Adouni ◽  
Antonio J. Marques Cardoso
Keyword(s):  
Thermal Analysis ◽  
Induction Motor ◽  
Induction Motors ◽  
Short Circuit ◽  
Diagnostic Tools ◽  
Voltage Unbalance ◽  
Safety Issues ◽  
Three Phase ◽  
Supply Voltages ◽  
Early Fault Detection

Three-phase induction motors are considered to be the workhorse of industry. Therefore, induction motor faults are not only the cause of users’ frustrations but they also drive up the costs related to unexpected breakdowns, repair actions, and safety issues. One of the most critical faults in three-phase induction motors is related to the occurrence of inter-turn short circuits, due to its devastating consequences. The topic of inter-turn short-circuit faults in three-phase induction motors has been discussed over recent decades by several researchers. These studies have mainly dealt with early fault detection to avoid dramatic consequences. However, they fall short of addressing the potential burnout of the induction motor before the detection step. Furthermore, the cumulative action played by an inevitable degree of unbalanced supply voltages may exacerbate such consequences. For that reason, in deep detail, this paper delves into the thermal analysis of the induction motor when operating under these two harsh conditions: unbalanced supply voltages and the presence of the most incipient type of inter-turn short-circuit condition—a short-circuit between two turns only. In this work, the finite element method has been applied to create the faulty scenarios, and a commercial software (Flux2D) has been used in order to simulate the electromagnetic and thermal behavior of the machine for various degrees of severity of the aforementioned faulty modes. The obtained results confirm that the diagnostic tools reported in the literature might not be effective, failing to warrant the required lead time so that suitable actions can be taken to prevent permanent damage to the machine.

scholarly journals A Low-Cost IoT Sensors Network for Monitoring Three-Phase Induction Motor Mechanical Power Adopting an Indirect Measuring Method

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 754
Author(s):  
Fabrizio Ciancetta ◽  
Edoardo Fiorucci ◽  
Antonio Ometto ◽  
Andrea Fioravanti ◽  
Simone Mari ◽  
...  
Keyword(s):  
Induction Motors ◽  
Low Cost ◽  
Measuring Method ◽  
Indirect Measurement ◽  
Point Of View ◽  
Operating Conditions ◽  
Mechanical Power ◽  
Three Phase ◽  
Energetic Point ◽  
The Cost

Three-phase induction motors are widely diffused in the industrial environment. Many times, the rated power of three-phase induction motors is not properly chosen causing incorrect operating conditions from an energetic point of view. Monitoring the mechanical dimension of a new motor is helpful, should an existing motor need to be replaced. This paper presents an IoT sensors network for monitoring the mechanical power produced by three-phase induction motors, adopting an indirect measuring method. The proposed technique can be easily adopted to monitor the mechanical power using only one line of current transducer, reducing the cost of the monitoring system. The proposed indirect measurement technique has been implemented on a low-cost IoT system, based on a Photon Particle SoC. The results show that the proposed IoT system can estimate the mechanical power with a relative error of within 8%.

A New Acoustic Emission-based Approach for Supply Disturbances Evaluation in Three-Phase Induction Motors

2020 ◽  
pp. 1-1
Author(s):  
Guilherme Beraldi Lucas ◽  
Bruno Albuquerque De Castro ◽  
Marco Aurelio Rocha ◽  
Andre Luiz Andreoli
Keyword(s):  
Acoustic Emission ◽  
Induction Motors ◽  
Three Phase
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