Correlations between Nondestructive and Destructive Tests on High-Voltage Coil Insulations for Rotating Miachines

Tsukui, Tsutomu; Takamura, Makoto; Kako, Yasuhiko

doi:10.1109/tei.1981.298351

Cited by 17 publications

(10 citation statements)

References 3 publications

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“…More or less the credibility in estimating the insulation condition under nondestructive tests must be correlated with the results of destructive tests [2], [3]. In the previous investigations it is ascertained that there is no correlation between the results of any nondestructive type of (dc/ac) assessment parameters with destructive type of (dc/ac/impulse) breakdown levels [1].…”

Section: Background Of Present Research Workmentioning

confidence: 99%

“…Further, both the dc and ac type of nondestructive tests are useful to assess the remaining life of stator winding insulation when it is on the verge of failure. Both the type of test measures are as such relatively insensitive life indicators of stator winding insulation, which still have significant remaining life [1].More or less the credibility in estimating the insulation condition under nondestructive tests must be correlated with the results of destructive tests [2], [3]. In the previous investigations it is ascertained that there is no correlation between the results of any nondestructive type of (dc/ac) assessment parameters with destructive type of (dc/ac/impulse) breakdown levels [1].…”

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confidence: 99%

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Performance Evaluation of Computer Simulated Extracted Features of Induction Motor with Healthy State of Insulation Present in Any Two-Phases

Modak¹,

Inamdar²

2012

IJCEE

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Abstract-The state of degradation of stator groundwall insulation in induction motor results in the state of unbalance in three-phase stator current at fundamental frequency. In this investigation, the computer simulation model to determine this state of unbalance is developed. The practical assumption of stator winding of induction motor being star (Υ) connected with isolated neutral is considered.On the basis of park's transformation model the stator current data in three-phase machine variable ('abc') form is first transformed into equivalent two-phase ('dq') form. The graphical dq-data pattern form is realized and certain mathematical parameters are extracted. The extracted features of induction motor for particular case of variation in the state of degradation of stator winding insulation are presented. The performance evaluation of the same is done. On the basis of performance evaluation, it is possible to determine the appropriate selection of specific input parameter conditions for optimal design of suitable artificial neural network classifier. Index Terms-Computer simulation, induction motor, insulation degradation, park's current transformation, stator groundwall insulation I. BACKGROUND OF PRESENT RESEARCH WORKThe state of stator winding insulation of induction motor is affected by the combination of thermal, mechanical and environmental stresses. The diagnostic tests and measurements to assess the condition of stator winding insulation in a particular machine are mainly classified in two broad categories viz., destructive tests and nondestructive tests. The destructive tests are the effective means to provide the direct measure of the status of insulation system. Another Manuscript received November 22, 2011; revised February 29, 2012. The work presented in the research paper is part of Ph. D. research work of first author. The associated Ph. D. research work is in progress and registered by the first author under the guidance of second author at Shivaji University, Kolhapur, Maharashtra, India, since January 2008. The overall work is associated with the application of artificial intelligence (AI) based tool like artificial neural network (ANN) for the detection of state of unbalance of three-phase stator current data of three-phase induction motor used in continuous process industry. The application is in context to state of degradation of stator winding insulation of the respective phases. The present research paper only describes the modeling and simulation part of the state of degradation of stator winding insulation of three-phase induction motor under test.Amit J. more subjective means of assessing the insulation condition requires the dissection and examination of some sample of insulation. Both the above methods damage the winding and in turn make the machine unserviceable. The dc type of nondestructive test parameters are sensitive to dampness and contamination of a winding but are insensitive to the presence of voids and delamination. The dc type of nondestructive tests are useful to deter...

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Section: Background Of Present Research Workmentioning

confidence: 99%

mentioning

confidence: 99%

Performance Evaluation of Computer Simulated Extracted Features of Induction Motor with Healthy State of Insulation Present in Any Two-Phases

Modak¹,

Inamdar²

2012

IJCEE

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“…More or less the credibility in estimating the insulation condition under nondestructive tests must be correlated with the results of destructive tests [2]. In the previous investigations it is ascertained that there is no correlation between the results of any nondestructive type of (dc/ac) assessment parameters with destructive type of -(dc/ac/impulse) breakdown levels [1].…”

Section: Introductionmentioning

confidence: 99%

“…The aging results from electrical, mechanical and thermal stresses. The diagnostic tests and measurements to assess the condition of stator winding insulation in a particular machine are mainly classified in two broad categories viz., (1) Destructive tests and (2) Nondestructive tests. Both the type of test measures are as such relatively insensitive life indicators of stator winding insulation, which still have significant remaining life [1].…”

Section: Introductionmentioning

confidence: 99%

Computer simulated extracted parameters of induction motor for equal variation in state of degradation of insulation in all three-phases

Modak¹,

Inamdar²

2012

2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)

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The state of degradation of stator winding insulation in induction motor results in the state of unbalance in threephase stator current at fundamental frequency. The computer simulation model to determine this state of unbalance is developed and presented in the research paper. An extended parks current transformation model is developed to transform the unbalanced stator current data in three-phase machine variable form into two-phase park's current vector component form. The park's current vector components are then presented in a graphical dq-data pattern form and certain mathematical parameters are deduced. The practical assumption of stator winding of induction motor being star ( ) connected with isolated neutral is considered. The performance evaluation of the extracted features of induction motor for particular case-viz., equal variation in the state of degradation of insulation in all the three respective phases is presented.

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“…A method to quantitatively calculate the reliability of multi-parameter diagnosis is put forward. Moreover, as an example, referring to the different non-destructive diagnosis methods for generators [5][6][7][8][9], the reliability of multi-parameter diagnosis for the stator bar of generator (300 MW, 18 kV) is studied, and the optimized diagnosis algorithm is calculated.…”

Section: Introductionmentioning

confidence: 99%

The optimization of multi-parameter insulation diagnosis

Shen

et al. 2009

2009 IEEE Conference on Electrical Insulation and Dielectric Phenomena

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On the basis of statistical theory, a method to quantitatively determine the reliability of multi-parameter diagnosis and to optimize the algorithm of multi-parameter diagnosis is put forward. This method is based on the statistical law, and concerns correlation between the different parameters. Moreover, as an example, the stator bar of generator (300 MW, 18 kV) is studied. 30 samples were selected from different parts of the practical stator bar of generators, and the parameters of dielectric loss, partial discharge and remaining breakdown voltage (BDV, 50 Hz) of each sample were measured. This method is applied to the estimation BDV of generator bars and the optimized multi-parameter diagnosis algorithm is determined on the basis of actual data. Sk+, tan and C are selected as the optimal parameter group by this method. Comparing with experimental data, it shows that the quantity of parameters is not the more the better. To choose appropriate parameters for assessing insulation condition is important. In order to choose appropriate parameters, two following principles are suggested. 1) It is efficient to select the parameters which have significant correlation with estimation object, as well as to obviate those of limited correlation. 2) Correlation between parameters should be taken into account. Generally speaking, the degree of correlation between parameters is the lower the better.

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Correlations between Nondestructive and Destructive Tests on High-Voltage Coil Insulations for Rotating Miachines

Cited by 17 publications

References 3 publications

Performance Evaluation of Computer Simulated Extracted Features of Induction Motor with Healthy State of Insulation Present in Any Two-Phases

Performance Evaluation of Computer Simulated Extracted Features of Induction Motor with Healthy State of Insulation Present in Any Two-Phases

Computer simulated extracted parameters of induction motor for equal variation in state of degradation of insulation in all three-phases

The optimization of multi-parameter insulation diagnosis

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