Research on Failure Identification of Partial Discharge Ultrasonic Signal Based on GFCC

Mengxi, Zhou; Tang, Zhiguo

doi:10.1109/eic47619.2020.9158683

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Gas insulated switchgear (GIS) is the core power transmission and transformation equipment in the power system, and its operational reliability is very important to the safety and stability of the power grid [1][2][3]. According to the statistical results of related GIS faults, GIS insulation faults account for a large proportion [4], which brings hidden dangers to the safe and stable operation of the power grid.…”

Section: Introductionmentioning

confidence: 99%

An extrinsic Fabry–Pérot interference fiber sensorfor ultrasonic detection of partial discharge

Zhang¹,

Qian²,

Liu³

et al. 2023

Optica Applicata

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An ultrasonic sensor based on extrinsic Fabry–Pérot interference (EFPI) has been designed and demonstrated to detect the ultrasonic wave signal. The sensitivity and natural frequency of fiber Fabry–Pérot (F-P) sensor with different structure parameter have been simulated by COMSOL. The simulation results illustrate that the sensitivity is up to 1.737 nm/kPa and the natural frequency is 2.1 MHz, when the silica diaphragm thickness is 2 μm, the radius is 90 μm, and the cavity length is 18 μm. The most suitable parameters have been selected and the F-P sensor has been fabricated. When the ultrasonic signals with the frequencies of 40 kHz and 1.2 MHz are respectively applied to the sensor, the frequencies detected by the EFPI ultrasonic sensor are 39 kHz and 1.21 MHz based on a partial discharge detection experiment for the designed demodulation system. The experimental results show that the sensor can accurately detect ultrasonic signals. As an excellent platform for ultrasonic signal sensing, this EFPI ultrasonic sensing system has great potential applications in partial discharge detection field.

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Section: Introductionmentioning

confidence: 99%

An extrinsic Fabry–Pérot interference fiber sensorfor ultrasonic detection of partial discharge

Zhang¹,

Qian²,

Liu³

et al. 2023

Optica Applicata

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RETRACTED: Breathing site classification via joint mel frequency cepstral coefficients and gammatone frequency cepstral coefficients approach

Zhang,

Ling

2024

IFS

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The patients with the nasopharyngeal cancer are required to breath through their mouth after performing the surgery. Hence, it is required to perform the breathing site classification and employs the classification results to indicate whether the patients breath correctly or not. Nevertheless, there is currently no such a medical aided tool in the market. To address this issue, this paper extracts both the mel frequency cepstral coefficients (MFCCs) based features and the gammatone frequency cepstral coefficients (GFCCs) based features as well as employs the random forest as the classifier for performing the breathing site classification. The data lasted for a few minutes acquired from 10 volunteers are employed to demonstrate the effectiveness of our proposed method. The computer numerical simulation results show that the average accuracy, the average specificity and the average sensitivity yielded by our proposed method are 95.30±2.00%, 93.27±3.87% and 97.15±1.87%, respectively. Although this paper proposes a method based on the fusion of two types of the acoustic features for classifying different breathing sites, the computer numerical simulation results show that our proposed method outperforms the common respiration or speech processing based methods. Besides, our proposed method is also compared to a series of relevant methods. It is found that our proposed method achieves the highest classification results at the majority signal to noise ratios among the state of the arts methods.

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Research on Failure Identification of Partial Discharge Ultrasonic Signal Based on GFCC

Cited by 2 publications

References 6 publications

An extrinsic Fabry–Pérot interference fiber sensorfor ultrasonic detection of partial discharge

An extrinsic Fabry–Pérot interference fiber sensorfor ultrasonic detection of partial discharge

RETRACTED: Breathing site classification via joint mel frequency cepstral coefficients and gammatone frequency cepstral coefficients approach

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