Axial vibration analysis of transformer windings with hysteresis of stress-and-strain characteristic of insulating materials

Uchiyama, Noriyuki; Saito, S.; Kashiwakura, Masaru; Takizawa, A.; Morooka, Hisashi; Itoh, Yoshio; Hori, Yasurō

doi:10.1109/pess.2000.867371

Cited by 18 publications

(6 citation statements)

References 4 publications

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“…The vibrations shown in figure 15 were acquired from this transformer immediately after the accident. The corresponding feature vectors are shown in table 6. In contrast to the healthy transformer, the anomaly probabilities of most sensors are close to one.…”

Section: Classification Using Svmmentioning

confidence: 97%

“…The survey also indicates that the windings are the primary source of transformer failures beside on-load tap changers (OLTCs). As is known, the mechanical structure is connected with the modal parameters which can be identified by vibrations [6]. In this paper, a novel approach with the aim of providing realtime diagnostic information by analyzing the transformer vibration is proposed.…”

Section: Introductionmentioning

confidence: 99%

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A method of real-time fault diagnosis for power transformers based on vibration analysis

Hong

Huang

Zhou

et al. 2015

Meas. Sci. Technol.

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In this paper, a novel probability-based classification model is proposed for real-time fault detection of power transformers. First, the transformer vibration principle is introduced, and two effective feature extraction techniques are presented. Next, the details of the classification model based on support vector machine (SVM) are shown. The model also includes a binary decision tree (BDT) which divides transformers into different classes according to health state. The trained model produces posterior probabilities of membership to each predefined class for a tested vibration sample. During the experiments, the vibrations of transformers under different conditions are acquired, and the corresponding feature vectors are used to train the SVM classifiers. The effectiveness of this model is illustrated experimentally on typical in-service transformers. The consistency between the results of the proposed model and the actual condition of the test transformers indicates that the model can be used as a reliable method for transformer fault detection.

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Section: Classification Using Svmmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

A method of real-time fault diagnosis for power transformers based on vibration analysis

Hong

Huang

Zhou

et al. 2015

Meas. Sci. Technol.

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show abstract

“…Regardless of the difference of winding geometries, the mathematical model shown in Fig. 1 is successfully used to represent the winding mechanical structure [13], [21], [22]. If the winding structure is in normal condition, a single-turn coil is equivalent to a mass (m), an insulator is equivalent to a spring (k), and c is the damping factor.…”

Section: A Winding Vibration Extractionmentioning

confidence: 99%

“…The amplitude of the vibration is proportional to the current (RMS) squared, which is shown in (2). 22 ( ) ( ), winding F t i t a I (2) The vibration transmission from the sources to the tank is so complicated that no unified transfer model has been proposed. One approach treats the transmission as a frequency-dependent attenuation and phase-shift function, which was mentioned in our previous studies [23].…”

Section: A Winding Vibration Extractionmentioning

confidence: 99%

Winding Condition Assessment of Power Transformers Based on Vibration Correlation

Hong

Huang

Zhou

2015

IEEE Trans. Power Delivery

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In this paper, a winding condition assessment model using vibration signals is presented, which can be used to diagnose power transformers online. The basic principle of this model is based on the correlation analysis of winding vibrations. In the model, the fundamental frequency vibration analysis is used to separate the winding vibration from the mixed signal. Then, a health parameter is proposed via principal component analysis. Another parameter is also proposed to detect the fault locations for suspected faulty transformers. In laboratory tests, the model is validated on a specifically designed 110 kV transformer. During the tests, man-made winding deformations are simulated to compare the vibrations under different conditions. The model has also been tested on several in-service power transformers. The preliminary study shows that the proposed model is feasible to assess the power transformer winding condition.

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“…Due to increasing the demand of electric power, the rated power of transformers has become larger, and the electromagnetic forces under the short circuit condition have also become higher. It is important to evaluate the electromagnetic forces scientifically and reduce these forces to improve short circuit strength [1][2][3][4][5]. The pressed-board spacers between the coils of oil-immersed transformers are exposed to high compression forces repeatedly at high strain rates under the short circuit condition.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of compression behaviors of oil-immersed insulating pressed-boards for transformers

Morooka

Yamagishi

Miyahara

et al. 2012

2012 IEEE International Conference on Condition Monitoring and Diagnosis

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We report on compression behaviors of oil-immersed insulating pressed-boards used in transformers for analyzing the axial vibration of windings. We examined the compression stressstrain curves of oil-immersed pressed-boards. We found that compression behaviors depended on strain rates and temperatures, that is, viscoelastic behaviors were observed. By applying the time-temperature superposition principle to the pressed-boards' compression behaviors, we obtained the relationship between the modulus of compressive elasticity and strain rate. As a result, we were able to estimate the pressedboards' compression behaviors at high compression forces at high strain rates.

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Axial vibration analysis of transformer windings with hysteresis of stress-and-strain characteristic of insulating materials

Cited by 18 publications

References 4 publications

A method of real-time fault diagnosis for power transformers based on vibration analysis

A method of real-time fault diagnosis for power transformers based on vibration analysis

Winding Condition Assessment of Power Transformers Based on Vibration Correlation

Evaluation of compression behaviors of oil-immersed insulating pressed-boards for transformers

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