Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-Starters

The condition monitoring of induction motors (IM), is an important concern for industry due to the widespread use of these machines. Magnetic Flux Analysis, has been proven to be a reliable method of diagnosing these motors. Among the IM types, squirrel-cage motors (SCIM) are one of the most commonly used. In many industrial applications, the IM are driven by different types of starters, quite often by soft-starters. Despite rotor damages are more prone to occur in line-started motors, these kind of failures have been also reported in those ones driven by soft-starters. Related to this, the use of these type of starters may introduce some harmonic components, that could veil the magnetic flux signature of the different rotor faults. So, the aim of this study is to confirm if the Stray Flux Analysis technique maintains its reliability in these cases. Thus, this article presents the results of soft-started induction motors start-up tests, both in healthy and faulty motors. The fault components are detected by analyzing the stray flux during the starting and the study is complemented by analyzing the stray flux during the steady-state. In addition to the failure patterns, numerical indicators have been found so the identification of the failures is not only qualitative, but also quantitative. The results confirm the potential of the technique for detecting electromechanical failures in soft-started SCIMs.

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Predictive Monitoring of Induction Motors via Magnetic Flux Analysis

International Journal of Materials Engineering ◽

10.5923/j.ijme.20150502.02 ◽

2015 ◽

Vol 5 (2) ◽

pp. 23-31

Author(s):

Paulo Cezar Monteiro Lamim Filho ◽

Robson Pederiva ◽

Jorge Nei Brito ◽

André Luis Christoforo

Keyword(s):

Magnetic Flux ◽

Induction Motors ◽

Flux Analysis

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Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2021.3070581 ◽

2021 ◽

pp. 1-1

Author(s):

Israel Zamudio-Ramirez ◽

Roque A Alfredo Osornio-Rios ◽

Jose Alfonso Antonino-Daviu ◽

Hubert Razik ◽

Rene de Jesus Romero-Troncoso

Keyword(s):

Magnetic Flux ◽

Condition Monitoring ◽

Electric Machines ◽

Flux Analysis

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Bayesian sensitivity analysis for unmeasured confounding in causal mediation analysis

Statistical Methods in Medical Research ◽

10.1177/0962280217729844 ◽

2017 ◽

Vol 28 (2) ◽

pp. 515-531 ◽

Cited By ~ 2

Author(s):

Lawrence C McCandless ◽

Julian M Somers

Keyword(s):

Sensitivity Analysis ◽

Mediation Analysis ◽

Indirect Effects ◽

Direct And Indirect Effects ◽

Unmeasured Confounding ◽

Intermediate Variable ◽

Causal Mediation ◽

Important Concern ◽

Analysis Technique ◽

Causal Mediation Analysis

Causal mediation analysis techniques enable investigators to examine whether the effect of the exposure on an outcome is mediated by some intermediate variable. Motivated by a data example from epidemiology, we consider estimation of natural direct and indirect effects on a survival outcome. An important concern is bias from confounders that may be unmeasured. Estimating natural direct and indirect effects requires an elaborate series of assumptions in order to identify the target quantities. The analyst must carefully measure and adjust for important predictors of the exposure, mediator and outcome. Omitting important confounders may bias the results in a way that is difficult to predict. In recent years, several methods have been proposed to explore sensitivity to unmeasured confounding in mediation analysis. However, many of these methods limit complexity by relying on a handful of sensitivity parameters that are difficult to interpret, or alternatively, by assuming that specific patterns of unmeasured confounding are absent. Instead, we propose a simple Bayesian sensitivity analysis technique that is indexed by four bias parameters. Our method has the unique advantage that it is able to simultaneously assess unmeasured confounding in the mediator–outcome, exposure–outcome and exposure–mediator relationships. It is a natural Bayesian extension of the sensitivity analysis methodologies of VanderWeele, which have been widely used in the epidemiology literature. We present simulation findings, and additionally, we illustrate the method in an epidemiological study of mortality rates in criminal offenders from British Columbia.

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Magnetic Flux Analysis of the EAST Vertical Field

IEEE Transactions on Plasma Science ◽

10.1109/tps.2016.2582223 ◽

2016 ◽

Vol 44 (8) ◽

pp. 1419-1423 ◽

Cited By ~ 2

Author(s):

Lu Qu ◽

Ge Li

Keyword(s):

Magnetic Flux ◽

Flux Analysis ◽

Vertical Field

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Magnetic Flux Analysis of E-Core Hybrid Excited FSM with Various Rotor-Pole Topologies

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.695.774 ◽

2014 ◽

Vol 695 ◽

pp. 774-777

Author(s):

Siti Nur Umira Zakaria ◽

Erwan Sulaiman

Keyword(s):

Magnetic Flux ◽

High Speed ◽

Flux Distribution ◽

Flux Analysis ◽

Flux Linkage ◽

Cogging Torque ◽

Excitation Coil ◽

Rotor Pole ◽

Field Excitation ◽

Flux Path

This paper presents magnetic flux analysis of E-Core Hybrid Excited FSM with various rotor pole topologies. The stator consists of three active fluxes sources namely armature coil, field excitation coil and permanent magnet, while the rotor consists of only stack of iron which is greatly reliable for high speed operation. Initially, coil arrangement tests are examined to validate the operating principle of the motor and to identify the zero rotor position. Then, performances of 6S-4P, 6S-5P, 6S-7P and 6S-8P E-Core HEFSMs such as flux path, flux linkage, cogging torque and flux distribution are observed. As conclusion, 6S-5P and 6S-7P designs have purely sinusoidal flux waveform and less cogging torque suitable for high torque and power motor.

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An Improved Method for Discerning Broken Rotor Bar Fault and Load Oscillation in Induction Motors

Energies ◽

10.3390/en11113130 ◽

2018 ◽

Vol 11 (11) ◽

pp. 3130 ◽

Cited By ~ 4

Author(s):

Liling Sun ◽

Boqiang Xu

Keyword(s):

Spectral Analysis ◽

Theoretical Basis ◽

Induction Motors ◽

The Other ◽

Improved Method ◽

Broken Rotor Bar ◽

Signal Parameters ◽

Analysis Technique ◽

Novel Strategy ◽

The One

A few methods for discerning broken rotor bar (BRB) fault and load oscillation in induction motors have been reported in the literature. However, they all perhaps inevitably fail in adverse cases in which these two phenomena are simultaneously present. To tackle this problem, an improved method for discerning BRB fault and load oscillation is proposed in this paper based on the following work. On the one hand, the theoretical basis is analytically extended to include such an adverse case, yielding some important findings on the spectra of the instantaneous reactive and active powers. A novel strategy is thus outlined to correctly discern BRB fault and load oscillation even when simultaneously present. On the other hand, Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) is adopted as the spectral analysis technique to deal with the instantaneous reactive and active powers, yielding a certain improvement compared to the existing methods, adopting Fast Fourier Transform (FFT). Simulation and experimental results demonstrate that the proposed method can correctly discern BRB fault and load oscillation even when simultaneously present.

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Experimental Study of Various Parameters during Speed Control of Three-phase Induction Motor Using GPIC and LabVIEW

Annals of Emerging Technologies in Computing ◽

10.33166/10.33166/aetic.2021.01.005 ◽

2021 ◽

Vol 5 (1) ◽

pp. 51-62

Author(s):

Adnan Ahmed ◽

Abdul Majeed Shaikh ◽

Muhammad Fawad Shaikh ◽

Shoaib Ahmed Shaikh ◽

Jahangir Badar Soomro

Keyword(s):

Induction Motor ◽

Induction Motors ◽

Induction Machine ◽

Speed Control ◽

Industrial Applications ◽

General Purpose ◽

Three Phase ◽

Field Programmable ◽

Input Source ◽

Open Control

Induction motors are widely used from home to industrial applications. Speed of induction motor plays important role, so to control the speed of induction motor various techniques are adopted and one of these techniques is V/F control, which is adopted in this paper. This technique helps to control the speed in open control system in RPM. Moreover, Control is designed in LabVIEW, it is quite helpful to develop the circuit graphically and code is automatically written in the background to run on Field Programmable Gate Array (FPGA). The aim of this research is to study the impacts on diverse parameters during speed control of three phase induction machine with manipulation of GPIC. Solar technology is used as input source to drive the General-Purpose Inverter Controller (GPIC). Apart of this, impacts of modulation index and carrier frequency influencing the active, reactive and apparent power, temperature and power quality and current overshoot is analysed. MATLAB/Simulink and LabVIEW tools are used for simulation and results along with GPIC, Induction motor and solar panel as hardware.

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High Accuracy Measurement of Total Losses in Fractional Horsepower Induction Motors

International Journal of Advanced Research in Engineering ◽

10.24178/ijare.2015.1.2.13 ◽

2015 ◽

Vol 1 (2) ◽

pp. 13

Author(s):

Azzeddine Ferrah ◽

Mounir Bouzguenda ◽

Jehad M. Al-Khalaf Bani Younis

Keyword(s):

Single Phase ◽

Induction Motors ◽

Data Acquisition System ◽

High Accuracy ◽

Industrial Applications ◽

Motor Speed ◽

Accuracy Measurement ◽

Three Phase ◽

Better Than ◽

High Accuracy Measurement

Large and small single-phase and three-phase induction motors are commonly used in industrial applications. The present work represents an attempt towards the design of a high accuracy system for the measurement of fractional horsepower (FHP) induction motor losses and efficiency. The calorimeter designed and built is capable of measuring heat losses of up to 1 kW with an overall accuracy better than 3%. During all tests, ambient temperature, humidity, motor speed and motor frame temperature were recorded using precise digital instruments. The inlet, outlet temperatures and resulting losses were recorded automatically using a high accuracy 12-bit data acquisition system. The preliminary results obtained demonstrate the suitability of the designed calorimeter for the accurate measurement of losses in FHP induction motors.

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