• Title/Summary/Keyword: Peak Threshold

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Experimental investigation on multi-parameter classification predicting degradation model for rock failure using Bayesian method

  • Wang, Chunlai;Li, Changfeng;Chen, Zeng;Liao, Zefeng;Zhao, Guangming;Shi, Feng;Yu, Weijian
    • Geomechanics and Engineering
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    • v.20 no.2
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    • pp.113-120
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    • 2020
  • Rock damage is the main cause of accidents in underground engineering. It is difficult to predict rock damage accurately by using only one parameter. In this study, a rock failure prediction model was established by using stress, energy, and damage. The prediction level was divided into three levels according to the ratio of the damage threshold stress to the peak stress. A classification predicting model was established, including the stress, energy, damage and AE impact rate using Bayesian method. Results show that the model is good practicability and effectiveness in predicting the degree of rock failure. On the basis of this, a multi-parameter classification predicting deterioration model of rock failure was established. The results provide a new idea for classifying and predicting rockburst.

Numerical Study of Estimating the Arrival Time of UHF Signals for Partial Discharge Localization in a Power Transformer

  • Ha, Sang-Gyu;Cho, Jeahoon;Lee, Juneseok;Min, Byoung-Woon;Choi, Jaehoon;Jung, Kyung-Young
    • Journal of electromagnetic engineering and science
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    • v.18 no.2
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    • pp.94-100
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    • 2018
  • Partial discharges (PDs) are electrical sparks that occur inside insulation between two conducting electrodes and can lead to the disastrous failure of insulation systems. To determine the location of a PD, a distributed array of UHF PD sensors is used to detect the electromagnetic (EM) signals emitted from the PD source, and the localization of the PD source can be estimated using the time difference of arrival (TDOA) between EM signals captured by the UHF PD sensor array. There are four popular methods to estimate the TDOA-the first peak method, the cross-correlation method, the energy criterion method, and the average time window threshold method. In this work, we numerically investigate the influence of noise on estimating the TDOA for the four different methods. Numerical results show that the energy criterion method is more robust against noise than other methods.

Pulse energy high Power test of metal film resistor (메탈 필름 저항의 펄스 대전력 시험)

  • Son, Y.G.;Jang, S.D.;Kwon, S.J.;Oh, J.S.;Cho, M.H.;Lee, K.T.
    • Proceedings of the KIEE Conference
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    • 2005.07c
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    • pp.2103-2105
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    • 2005
  • Metal film type of resistor have been tested to invest maximum usable power at the pulsed high voltage and pulsed high current. Experiments were carried out using capacitor charging power supply and dump switch. Pulsed amplitude were varied from 1kV to 25kV. The peak current reached was 1kA. Datasheet are given for the limited pulsed power and energy for metal film type of resistor in nanosecond and microsecond time range. The experimental investigation of the threshold loading of the resistor in the high current and voltage pulsed mode has shown that the process of destruction of resistor has specific features for each mode. The mechanisms of failure and destruction of resistors under action of high-voltage and high-current pulses are discussed.

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Effect of Electrode Structures on Electron Emission of the $Pb(Zr_{0.56}Ti_{0.44})O_3$ Ferroelectric Cathode ($Pb(Zr_{0.56}Ti_{0.44})O_3$ 강유전체 음극의 전극 모형에 따른 전자 방출 특성)

  • Seo, Min-Su;Hong, Ki-Min
    • Journal of the Korea Institute of Military Science and Technology
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    • v.13 no.4
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    • pp.699-707
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    • 2010
  • Electric-field-induced electron emission from the three kinds of $Pb(Zr_{0.56}Ti_{0.44})O_3$ ferroelectric cathodes with different electrode structure has been investigated. Regardless of the electrode structures, a threshold field of the each cathode was 2.5-2.6kV/mm, which is 3 times higher than the coercive field of $Pb(Zr_{0.56}Ti_{0.44})O_3$ material. Although the waveform of the electron currents was affected by the structure of the electrode, no significant difference for the emission properties such as the peak current and the pulse width was observed from the three kinds of the cathodes. However, the current density of the cathode was dependent on the electrode structure. From the simulation of electric field distribution, the surface flashover, and the injury region of the cathode surface, it was proved that the prime electrons were initiated at the electrode-ceramic-vacuum triple point by field emission and the emission currents were strongly enhanced by the surface plasma.

Analysis of Hot-Carrier Effects in High-Voltage LDMOSFETs (고전압 LDMOSFET의 Hot-Carreir 효과에 의한 특성분석)

  • Park, Hoon-Soo;Lee, Young-Ki;Kwon, Young-Kyu
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2005.07a
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    • pp.199-200
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    • 2005
  • In this paper, the electrical characteristics and hot-carrier induced electrical performance degradations of high-voltage LDMOSFET fabricated by the existing CMOS technology were investigated. Different from the low voltage CMOS device, the only specific on-resistance was degraded due to hot-carrier stressing in LDMOS transistor. However, other electrical parameters such as threshold voltage, transconductance, and saturated drain current were not degraded after stressing. The amount of on-resistance degradation of LDMOS transistor that was implanted n-well with $1.0\times10^{13}/cm^2$ was approximately 1.6 times more than that of LDMOS transistor implanted n-well with $1.0\times10^{12}/cm^2$. Similar to low voltage CMOS device, the peak on-resistance degradation in LDMOS device was observed at gate voltage of 2.2V while the drain applied voltage was 50V. It means that the maximum impact ionization at the drain junction occurs at the gate voltage of 2.2V applying the drain voltage of 50V.

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Dependency of the Device Characteristics on Plasma Nitrided Oxide for Nano-scale PMOSFET (Nano-scale PMOSFET에서 Plasma Nitrided Oixde에 대한 소자 특성의 의존성)

  • Han, In-Shik;Ji, Hee-Hwan;Goo, Tae-Gyu;You, Ook-Sang;Choi, Won-Ho;Park, Sung-Hyung;Lee, Heui-Seung;Kang, Young-Seok;Kim, Dae-Byung;Lee, Hi-Deok
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.20 no.7
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    • pp.569-574
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    • 2007
  • In this paper, the reliability (NBTI degradation: ${\Delta}V_{th}$) and device characteristic of nano-scale PMOSFET with plasma nitrided oxide (PNO) is characterized in depth by comparing those with thermally nitrided oxide (TNO). PNO case shows the reduction of gate leakage current and interface state density compared to TNO with no change of the $I_{D.sat}\;vs.\;I_{OFF}$ characteristics. Gate oxide capacitance (Cox) of PNO is larger than TNO and it increases as the N concentration increases in PNO. PNO also shows the improvement of NBTI characteristics because the nitrogen peak layer is located near the $Poly/SiO_2$ interface. However, if the nitrogen concentration in PNO oxide increases, threshold voltage degradation $({\Delta}V_{th})$ becomes more degraded by NBT stress due to the enhanced generation of the fixed oxide charges.

Prediction of the Amount of Tool Fracture in Face Milling Using Cutting Force Signal (절삭력 신호를 이용한 정면 밀링에서 공구 파손량 예측)

  • Kim, Gi-Dae;Ju, Jong-Nam
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.6
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    • pp.972-979
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    • 2001
  • Tool fracture index(TFI) was developed in order not only to detect tool fracture but also to predict the amount of tool fracture in face milling. TFI is calculated by using peak-to-valley values of cutting force acting on teeth and their ratio between the adjacent teeth. When the tool fractures, a large value of TFI proportional to the amount of tool fracture was obtained periodically and decreased gradually. It was found that TFI is independent of cutter runout and it almost does not vary during transient cutting such as cutting condition change during machining. The threshold of tool fracture can be analytically determined by TFI developed in this paper, because the magnitude of TFI was shown to be dependent on the ratio of the amount of tool fracture to feed per tooth and immersion ratio. It was possible to predict the amount of tool fracture in experiments by using the proposed TFI.

Evolution of dynamic mechanical properties of heated granite subjected to rapid cooling

  • Yin, Tubing;Zhang, Shuaishuai;Li, Xibing;Bai, Lv
    • Geomechanics and Engineering
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    • v.16 no.5
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    • pp.483-493
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    • 2018
  • Experimental study of the deterioration of high-temperature rock subjected to rapid cooling is essential for thermal engineering applications. To evaluate the influence of thermal shock on heated granite with different temperatures, laboratory tests were conducted to record the changes in the physical properties of granite specimens and the dynamic mechanical characteristics of granite after rapid cooling were experimentally investigated by using a split Hopkinson pressure bar (SHPB). The results indicate that there are threshold temperatures ($500-600^{\circ}C$) for variations in density, porosity, and P-wave velocity of granite with increasing treatment temperature. The stress-strain curves of $500-1000^{\circ}C$ show the brittle-plastic transition of tested granite specimens. It was also found that in the temperature range of $200-400^{\circ}C$, the through-cracks induced by rapid cooling have a decisive influence on the failure pattern of rock specimens under dynamic load. Moreover, the increase of crack density due to higher treatment temperature will result in the dilution of thermal shock effect for the rocks at temperatures above $500^{\circ}C$. Eventually, a fitting formula was established to relate the dynamic peak strength of pretreated granite to the crack density, which is the exponential function.

Development of machine learning model for automatic ELM-burst detection without hyperparameter adjustment in KSTAR tokamak

  • Jiheon Song;Semin Joung;Young-Chul Ghim;Sang-hee Hahn;Juhyeok Jang;Jungpyo Lee
    • Nuclear Engineering and Technology
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    • v.55 no.1
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    • pp.100-108
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    • 2023
  • In this study, a neural network model inspired by a one-dimensional convolution U-net is developed to automatically accelerate edge localized mode (ELM) detection from big diagnostic data of fusion devices and increase the detection accuracy regardless of the hyperparameter setting. This model recognizes the input signal patterns and overcomes the problems of existing detection algorithms, such as the prominence algorithm and those of differential methods with high sensitivity for the threshold and signal intensity. To train the model, 10 sets of discharge radiation data from the KSTAR are used and sliced into 11091 inputs of length 12 ms, of which 20% are used for validation. According to the receiver operating characteristic curves, our model shows a positive prediction rate and a true prediction rate of approximately 90% each, which is comparable to the best detection performance afforded by other algorithms using their optimized hyperparameters. The accurate and automatic ELM-burst detection methodology used in our model can be beneficial for determining plasma properties, such as the ELM frequency from big data measured in multiple experiments using machines from the KSTAR device and ITER. Additionally, it is applicable to feature detection in the time-series data of other engineering fields.

Noisy OTDR Data Event Detection Analysis for the Real Time Optical Fiber Link Monitoring (실시간 광선로망 감시를 위한 Noisy OTDR 신호 분석 방법)

  • Ko, Dae-Young;Baek, Sung-June;Park, Aaron;Kim, Jin-Bong;Nah, Yong-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.4
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    • pp.122-128
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    • 2016
  • This paper, proposes a new analysis method for the event detection of an OTDR signal. An OTDR signal was passed through the Hamming filter to remove the high frequency noise included in the signal. The signal was then passed consecutively through a differential filter to detect the events of interest. The terminal position was determined using the fact that there is a large gap between the signal and the trailing noise power beyond the terminal. This study examined the local maxima of the signal up to the terminal position and determined the peak regions. The real events were determined from the peak regions using noise information and peak threshold. Finally, the user events were found by inspecting the user peaks beyond the terminal position. The events of the OTDR signal without users are located at less than 17m compared to the optical fiber link setup. The events of the JDSU device are located less than 25m and their users are less than 5m. For the RadianTech device, the events are detected at less than 19m and the users are found in 5m. The results suggest that the proposed method is sufficiently applicable to an optical fiber link monitoring system.