| EPE-PEMC 2004 - Topic 05-8: Diagnostic of Electrical Machines | ||
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 | A Multipolar Asynchronous Generator With Two Channels Of Electric Energy Generation
By V. Pugachov, N. Levin, L. Ribickis, M. Manonov | |
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Abstract: A multipolar contact-free asynchronous generator is
considered in which the primary and the secondary generation
windings are arranged on the teeth of the stator, while the rotor is
made tooth-like and without windings. Analytical treatment of
such a generator has been performed and the basic equations
have been obtained, which allow the parameters and performance
of the machine to be calculated in generation mode of operation.
The results of experimental investigations are presented for the
physical model of the generator and comparison with the
calculation data is given.
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| | A Novel Method Of Induction Motor Diagnosis Using The Line-Neutral Voltage
By H. Razik, G. Didier | |
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Abstract: Asynchronous machines take a large place in
industrial applications. It is necessary to ensure a high quality
of the process in the whole. So, many researches deal with the
diagnosis of induction motors. One of the widespread methods is
the monitoring of the stator current. This one is named MCSA
(Motor Current Signature Analysis). This approach is based
on the two sideband current components near the frequency
fundamental line which appear in case of rotor bar defects. As
an incipient rotor fault detection is often necessary in some
sensitive processes, we propose, in this paper, an approach
using the analysis of the line-neutral voltage. It implies a star
connection of the electrical motor. We make a spectral analysis
of this voltage in case of one partial bar or one whole broken
bar. The induction motor operates under several loads. Results
of simulations and experimentations prove the efficient use of
this approach proposed. This one is quite relevant in regard of
the MCSA method.
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| | Complete Current-Based Induction Motor Condition Monitoring: Stator, Rotor, And Overload Protection
By Thomas G. Habetler, Ronald G. Harley, Rangarajan M. Tallam, Sang-Bin Lee, Ramzy Obaid, And Jason Stack | |
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Abstract: This paper presents a complete summary of
techniques for monitoring and protecting each major
component of a low voltage, induction motor. This includes
both line connected and drive-supplied machines. Specifically,
a method for protecting the machine from thermal overload is
presented, along with a method for robust stator turn-fault
detection. Current-based spectral analysis for rotor and rotating
faults, as well as bearing faults is also presented. Each of these
techniques are proved to provide condition- and fault-related
information to the user without additional sensors.
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| | Detecting Rotor Faults In Inverter-Fed Induction Machines At Zero Load
By Th. M. Wolbank, J. L. Machl, R. Schneiderbauer | |
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Abstract: For quality management and safety
critical applications, methods of rotor bar fault-detection are
essential. The method proposed in this paper is based on a
monitoring of the asymmetrical behavior of the rotor time
constant. The rotor time constant depending on the magnetizing
angular reference to the rotor coordinate system is estimated
and observed. This is done by magnetizing and demagnetizing
the machine in a rotor fixed direction, measuring the time
constant and showing the modulation over one pole pitch. The
resulting signal is the decisive factor for the expert system
whether the rotor cage is defective or faultless.
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| | FDI Based On Two Stage Classifiers For Fault Diagnosis Of Valve Actuators. Application To DAMADICS Benchmark
By Arunas Lipnickas(lt), Jose Sa Da Costa(pt), Cosmin Danut Bocaniala(ro) | |
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Abstract: This paper describes a two stage classifiers FDI
system for fault diagnosis of industrial processes. The first stage
classifier is used for the fault detection and the second one
for fault isolation and identification. In order to reduce a
number of false alarms the penalization factor in the training
error cost function is introduced and also a methodology to
calculate the final fault detection. To increase the reliability of
the fault identification the probabilities of classification are
averaged within the fault duration time. The performance of the
proposed approach is demonstrated on the DAMADICS
benchmark problem to detect the abrupt faults in the valve
actuator block.
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| | Non-Invasive Stator Fault Diagnosis In Induction Machines
By I Albizu, J R Saenz, A J Mazon, A Tapia, I. Zamora, | |
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Abstract: Non-invasive fault diagnosis has the advantage that there is not need for the installation of additional sensors and is the preferred option for condition monitoring of induction machines. For this reason many techniques based on the monitoring of voltage and current have been developed for the diagnosis of stator faults in induction machines. This paper describes these diagnostic techniques.
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| | Research Of The Simplified Diagnostic Models Of Transformers
By P. A. Butyrin, M. Ye. Alpatov, T. A. Vaskovskaya | |
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Abstract: An account is given of the problems and methods of
the diagnostics of transformers under load using the results of
measurements of winding currents and voltages for sinusoidal
modes. Simplified diagnostic models of two-winding single-phase and
three-phase transformers have been designed.
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| | Stator Failures And Diagnostic Methods In 3-Phase Squirrel-Cage Induction Motors
By Ibrahim F. Elarabawy, Ragi A. R. Hamdy, Gamal Mahmoud | |
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Abstract: This paper is presents the stator winding fault
detection. Stator failures are classified. Effect's of various
stresses on the stator lifetime and how do causes contribute to
stator failure are studied. A technique known as model-based
diagnostic technique is used to study the behavior of the stator
under abnormal conditions. The squirrel-cage induction motor
is taken as a case study for practical verification. A neural-based
diagnosis for the stator failures has been carried out.
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