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Multicriteria diagnosis of synchronous machine using the welch method

Publication date: 16.12.2015

Technical Transactions, 2015, Electronical Engineering Issue 1-E (8) 2015, pp. 343 - 352

https://doi.org/10.4467/2353737XCT.15.054.3854

Authors

,
José Gregorio Ferreira
Faculty of Electrical and Computer Engineering, Cracow University of Technology
All publications →
,
Tadeusz J. Sobczyk
Instytut Elektromechanicznych Przemian Energii, Wydział Inżynierii Elektrycznej i Komputerowej, Politechnika Krakowska
All publications →
Adam Warzecha
University of Silesia in Katowice,
ul. Bankowa 12, 40-007 Katowice, Poland
All publications →

Titles

Multicriteria diagnosis of synchronous machine using the welch method

Abstract

This paper discusses the detection of internal faults in the stator and rotor windings of synchronous machines. Using current signature analysis, it is demonstrated how by using low cost equipment, it is possible to detect the fault by monitoring the currents. The process of detection is totally optimized, and the processing time is enough to identify the fault before the total machine damage. Using the spectrum of the healthy machine as a reference, the followed methodology allows the timely and reliable detection of faults.

References

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Information

Information: Technical Transactions, 2015, Electronical Engineering Issue 1-E (8) 2015, pp. 343 - 352

Article type: Original article

Titles:

Polish:

Multicriteria diagnosis of synchronous machine using the welch method

English:

Multicriteria diagnosis of synchronous machine using the welch method

Authors

Faculty of Electrical and Computer Engineering, Cracow University of Technology

Instytut Elektromechanicznych Przemian Energii, Wydział Inżynierii Elektrycznej i Komputerowej, Politechnika Krakowska

University of Silesia in Katowice,
ul. Bankowa 12, 40-007 Katowice, Poland

Published at: 16.12.2015

Article status: Open

Licence: None

Percentage share of authors:

José Gregorio Ferreira (Author) - 33%
Tadeusz J. Sobczyk (Author) - 33%
Adam Warzecha (Author) - 34%

Article corrections:

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Publication languages:

English