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Drouillard, Thomas F.

doi:10.1007/978-1-4615-8362-2_1

Cited by 10 publications

(6 citation statements)

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“…This topic is still developed and has more and more importance [1,8,9]. PD investigations in Poland by means of acoustic methods can be divided into two stages: the first, resumed by the monograph edited at 1993 year [10], and the second, contemporary, which is based on advanced analysis of AE signals in domain of the time, frequency, time and frequency and discrimination threshold.…”

Section: Basic Methods Used To Measure Of Partial Discharges In Transmentioning

confidence: 99%

Anusual Application of Partial Discharges to Diagnose of High Voltage Power Transformers

et al. 2011

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The article contains information on research carried out in Electric Faculty of Silesian University of Technology, made at test stations and aimed at diagnosis how is actual technical state of high voltage power oil transformers. Opinion on a state of transformers is based on analysis results of partial discharge measurements. Authors use simultaneously: electric, acoustic and dissolved gas analysis method. Applied acoustic method is the original own one. Non-conventional application of electric method is proposed, too. In the frame of chosen methodology the partial discharges are measured and next calculations of quantities describing partial discharges within particular methods are carried out in order to describe phenomena commonly for electric and acoustic method. Information sources about level and kind of partial discharges are measurement results obtained from electric method whereas information on places where partial discharges appear is contained in measurement results coming from acoustic method. Authors present selected application results of such a combined measuring method.

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Section: Basic Methods Used To Measure Of Partial Discharges In Transmentioning

confidence: 99%

Anusual Application of Partial Discharges to Diagnose of High Voltage Power Transformers

et al. 2011

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“…Gerber also described that Mars (iron) makes a louder sound during forging. This sound was produced by the formation of martensite during the cooling process [6]. Joseph Kaiser conducted the first comprehensive study into the phenomena of AE [7].…”

Section: Acoustic Emissionmentioning

confidence: 99%

Review of the Uses of Acoustic Emissions in Monitoring Cavitation Erosion and Crack Propagation

Fernández-Osete,

Bermejo,

Ayneto-Gubert

et al. 2024

Foundations

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Nowadays, hydropower plants are being used to compensate for the variable power produced by the new fluctuating renewable energy sources, such as wind and solar power, and to stabilise the grid. Consequently, hydraulic turbines are forced to work more often in off-design conditions, far from their best efficiency point. This new operation strategy increases the probability of erosive cavitation and of hydraulic instabilities and pressure fluctuations that increase the risk of fatigue damage and reduce the life expectancy of the units. To monitor erosive cavitation and fatigue damage, acoustic emissions induced by very-high-frequency elastic waves within the solid have been traditionally used. Therefore, acoustic emissions are becoming an important tool for hydraulic turbine failure detection and troubleshooting. In particular, artificial intelligence is a promising signal analysis research hotspot, and it has a great potential in the condition monitoring of hydraulic turbines using acoustic emissions as a key factor in the digitalisation process. In this paper, a brief introduction of acoustic emissions and a description of their main applications are presented. Then, the research works carried out for cavitation and fracture detection using acoustic emissions are summarised, and the different levels of development are compared and discussed. Finally, the role of artificial intelligence is reviewed, and expected directions for future works are suggested.

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“…Among these techniques, AE technology is widely preferred in the industry due to its capability in real-time response, high sensitivity, and ease of installation [9][10][11]. The origins of AE technology can be traced back to its inception in Sensors 2023, 23, 9296 2 of 14 1950 through the pioneering efforts of Joseph Kaiser [12]. Throughout the 1950s and '60s, scientists extensively explored the basics of acoustic emission, designed specialized equipment tailored for AE, and studied the AE patterns exhibited by various materials [12].…”

Section: Introductionmentioning

confidence: 99%

“…The origins of AE technology can be traced back to its inception in Sensors 2023, 23, 9296 2 of 14 1950 through the pioneering efforts of Joseph Kaiser [12]. Throughout the 1950s and '60s, scientists extensively explored the basics of acoustic emission, designed specialized equipment tailored for AE, and studied the AE patterns exhibited by various materials [12]. Specifically, AE is the spontaneous release of elastic energy by a material when it undergoes deformation [13].…”

Section: Introductionmentioning

confidence: 99%

A Reliable Pipeline Leak Detection Method Using Acoustic Emission with Time Difference of Arrival and Kolmogorov–Smirnov Test

Nguyen,

Ahmad

et al. 2023

Sensors

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This paper proposes a novel and reliable leak-detection method for pipeline systems based on acoustic emission (AE) signals. The proposed method analyzes signals from two AE sensors installed on the pipeline to detect leaks located between these two sensors. Firstly, the raw AE signals are preprocessed using empirical mode decomposition. The time difference of arrival (TDOA) is then extracted as a statistical feature of the two AE signals. The state of the pipeline (leakage/normal) is determined through comparing the statistical distribution of the TDOA of the current state with the prior normal state. Specifically, the two-sample Kolmogorov–Smirnov (K–S) test is applied to compare the statistical distribution of the TDOA feature for leak and non-leak scenarios. The K–S test statistic value in this context functions as a leakage indicator. A new criterion called leak sensitivity is introduced to evaluate and compare the performance of leak detection methods. Extensive experiments were conducted using an industrial pipeline system, and the results demonstrate the excellence of the proposed method in leak detection. Compared to traditional feature-based indicators, our approach achieves a significantly higher performance in leak detection.

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Bibliography

Cited by 10 publications

References 0 publications

Anusual Application of Partial Discharges to Diagnose of High Voltage Power Transformers

Anusual Application of Partial Discharges to Diagnose of High Voltage Power Transformers

Review of the Uses of Acoustic Emissions in Monitoring Cavitation Erosion and Crack Propagation

A Reliable Pipeline Leak Detection Method Using Acoustic Emission with Time Difference of Arrival and Kolmogorov–Smirnov Test

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