2011
DOI: 10.2478/v10168-011-0054-4
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Diagnosis of the Non-Concurrent Operation of the On-Load Tap Changer Contacts by the Acoustic Emission Method

Abstract: On-load tap changers (OLTC) are some of the main transformer elements that make voltage adjustment in a power network possible. Their failures often cause shutdowns of distribution transformers. The paper presents research work aimed at the assessment of the technical condition of OLTCs by the acoustic emission method (EA). This method makes the OLTC diagnosis possible without the need of disconnecting the transformer from the system. The measurements were taken in laboratory conditions. The influence on the o… Show more

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Cited by 4 publications
(2 citation statements)
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“…These methods were used to tackle the problems of highly non-stationary nature of the signals and to improve the precision of the diagnostics. CWT, DWT and STFT have also been used in [20], [21], [71], and [72] for the extraction of the diagnostic material. Li et al [73] reported the shortcomings of the existing vibro-acoustic diagnostic methods when electrical faults without obvious mechanical vibration are being diagnosed, such as contact terminals fault and contact resistance anomaly.…”
Section: ) Oltcmentioning
confidence: 99%
“…These methods were used to tackle the problems of highly non-stationary nature of the signals and to improve the precision of the diagnostics. CWT, DWT and STFT have also been used in [20], [21], [71], and [72] for the extraction of the diagnostic material. Li et al [73] reported the shortcomings of the existing vibro-acoustic diagnostic methods when electrical faults without obvious mechanical vibration are being diagnosed, such as contact terminals fault and contact resistance anomaly.…”
Section: ) Oltcmentioning
confidence: 99%
“…This makes it possible to record acoustic emission (AE) signals using piezoelectric transducers. The recorded AE signals provide information characterizing the operation of the OLTC, enabling the diagnosis of the device using these signals (Cichoń et al, 2011a;2011b;Li et al, 2012).…”
Section: Introductionmentioning
confidence: 99%