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Transmission Lines Monitoring Based on Convolution Neural Network and Edge Computation EI
会议论文 | 2021 , 742 LNEE , 79-87 | 9th Frontier Academic Forum of Electrical Engineering, FAFEE 2020
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Abstract :

Transmission lines ordinary inspection is an important work for power companies to ensure its safety and stability. With the development of ubiquitous power Internet of Things, realizing intelligent analysis of transmission lines by edge computing is the development direction of smart grid. Convolutional neural networks combining with an edge computation platform are used for feature extraction in this paper. The network structure comprehensively considers some features, such as complex image scenes, the difficulty in extracting hidden dangers type features, and large target size variation spans. The proposed model uses multi-scale prediction and feature fusion technology to detect common hidden dangers in the transmission lines surroundings. Experiments show that the mean average precision (mAP) of our model is 89.1%, and the detection speed is about 1.25 frames per second (FPS). The higher detection accuracy lays a solid foundation for the image intelligent processing algorithm of transmission lines and the edge computation platform. © 2021, Beijing Oriental Sun Cult. Comm. CO Ltd.

Keyword :

Edge detection Edge computing Electric power transmission networks Electric utilities Image processing Electric lines Smart power grids Ubiquitous computing Convolutional neural networks Convolution Feature extraction

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GB/T 7714 Guo, Yue , Yuan, Huan , Zhu, Jinguo et al. Transmission Lines Monitoring Based on Convolution Neural Network and Edge Computation [C] . 2021 : 79-87 .
MLA Guo, Yue et al. "Transmission Lines Monitoring Based on Convolution Neural Network and Edge Computation" . (2021) : 79-87 .
APA Guo, Yue , Yuan, Huan , Zhu, Jinguo , Wang, Lujin , Yang, Aijun , Wang, Xiaohua . Transmission Lines Monitoring Based on Convolution Neural Network and Edge Computation . (2021) : 79-87 .
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Design of a Power Transmission Line On-line Monitoring System Based on A/B Interface Grid Protocols EI
会议论文 | 2021 , 742 LNEE , 89-97 | 9th Frontier Academic Forum of Electrical Engineering, FAFEE 2020
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Abstract :

The power transmission line on-line monitoring system is of great significance for ensuring the safe operation of the power system. In this paper, a monitoring system based on standardized A and B interface grid protocols, image processing and state tracking is designed. The system is divided into front-end and back-end system. The front-end system monitors the video data and transmits it to the data platform through the A interface protocol. By the B-interface protocol, data is transmitted to the back-end system. The back-end system performs data processing and fault state tracking. At first, this paper describes the hardware and software architecture, and then explains the implementation of the functions. Finally, compared to traditional equipment, the design concept in this paper can achieve on-line monitoring better. © 2021, Beijing Oriental Sun Cult. Comm. CO Ltd.

Keyword :

Monitoring Power transmission Electric lines Interface states Image processing Transmissions Electric power transmission Data handling Voltage measurement

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GB/T 7714 Wang, Lujin , Yuan, Huan , Wang, Xiaohua et al. Design of a Power Transmission Line On-line Monitoring System Based on A/B Interface Grid Protocols [C] . 2021 : 89-97 .
MLA Wang, Lujin et al. "Design of a Power Transmission Line On-line Monitoring System Based on A/B Interface Grid Protocols" . (2021) : 89-97 .
APA Wang, Lujin , Yuan, Huan , Wang, Xiaohua , Guo, Yue , Yang, Aijun . Design of a Power Transmission Line On-line Monitoring System Based on A/B Interface Grid Protocols . (2021) : 89-97 .
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Effects of H2O and O-2 Impurities on the Trichel Pulses Characteristics of the Negative Point-Plane Corona Discharge in SF6 EI SCIE
期刊论文 | 2021 , 41 (4) , 1101-1119 | PLASMA CHEMISTRY AND PLASMA PROCESSING
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Abstract :

The results of numerical simulation of the effects of H2O and O-2 impurities on the Trichel pulses characteristics in the negative point-plane corona discharge in SF6 gas at 0.4 MPa is presented in this paper. The H2O and O-2 contents varied from 200 ppm to 10,000 ppm. The continuity equations for three charged species along with Poisson's equation were solved simultaneously to obtain the Trichel pulses characteristics in SF6/H2O mixtures and SF6/O-2 mixtures. The reduced ionization coefficient, the reduced attachment coefficient, the electron mobility and the electron diffusion coefficient for SF6/H2O and SF6/O-2 mixtures were determined by solving the two-term Boltzmann equation. The effects of H2O and O-2 on the current pulses, the distributions of the charged species and the reduced electric field at the instants of the first and second peak pulse, the time-dependent total number of the three charged species in the gap and the reduced electric field at the discharge tip were investigated to determine the sensitivities of the Trichel pulses characteristics of the SF6 to the H2O and O-2 impurities.

Keyword :

Negative corona discharge Effects of H2O and O-2 Point-plane electrodes Numerical simulation Trichel pulses characteristics

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GB/T 7714 Gao, Qingqing , Wang, Xiaohua , Adamiak, Kazimierz et al. Effects of H2O and O-2 Impurities on the Trichel Pulses Characteristics of the Negative Point-Plane Corona Discharge in SF6 [J]. | PLASMA CHEMISTRY AND PLASMA PROCESSING , 2021 , 41 (4) : 1101-1119 .
MLA Gao, Qingqing et al. "Effects of H2O and O-2 Impurities on the Trichel Pulses Characteristics of the Negative Point-Plane Corona Discharge in SF6" . | PLASMA CHEMISTRY AND PLASMA PROCESSING 41 . 4 (2021) : 1101-1119 .
APA Gao, Qingqing , Wang, Xiaohua , Adamiak, Kazimierz , Yang, Aijun , Liu, Dingxin , Niu, Chunping et al. Effects of H2O and O-2 Impurities on the Trichel Pulses Characteristics of the Negative Point-Plane Corona Discharge in SF6 . | PLASMA CHEMISTRY AND PLASMA PROCESSING , 2021 , 41 (4) , 1101-1119 .
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Fault detection and isolation for discrete-time Markovian jump systems with generally bounded transition probabilities: A zonotope-based method SCIE
期刊论文 | 2021 , 43 (13) , 2948-2959 | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
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Abstract :

This paper addresses the fault detection and isolation for a class of discrete-time Markovian jump system with generally bounded transition probabilities. The proposed method is mainly based on a bank of L-infinity. robust observers, which can detect the actuator fault occurrence and, even more, can locate those subjected to the fault. Furthermore, the performance and the robustness of the designed L-infinity. robust observer are disseminated respect to disturbances and measurement noises. In particular, we propose the zonotop-based dynamic threshold to predict the ranges of the residual, which shows less conservatism in comparison to traditional methods. Finally, pertinent simulations are performed to corroborate the potential and superiority of the proposed method. In general, the proposed method offers effective fault detection and isolation scheme for Markovian jump systems, which can detect the fault timely and accurately with lowering the rate of fault missing report to a great extent, thus having practical value.

Keyword :

fault isolation Markovian jump system Fault detection zonotope generally bounded probabilities

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GB/T 7714 Lu, Dunke , Zhang, Xinyu , Lan, Yunsheng et al. Fault detection and isolation for discrete-time Markovian jump systems with generally bounded transition probabilities: A zonotope-based method [J]. | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL , 2021 , 43 (13) : 2948-2959 .
MLA Lu, Dunke et al. "Fault detection and isolation for discrete-time Markovian jump systems with generally bounded transition probabilities: A zonotope-based method" . | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 43 . 13 (2021) : 2948-2959 .
APA Lu, Dunke , Zhang, Xinyu , Lan, Yunsheng , Wang, Xiaohua . Fault detection and isolation for discrete-time Markovian jump systems with generally bounded transition probabilities: A zonotope-based method . | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL , 2021 , 43 (13) , 2948-2959 .
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A Study to Resist Conduced Interference from GIS Bus-Charging Currents Switching for Electronic Current Transformer SCIE
期刊论文 | 2021 , 10 (8) | ELECTRONICS
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Abstract :

In this paper, we study the conducted interference to an electronic current transformer introduced in the process of bus-charging currents which are caused by switching a gas insulated switchgear (GIS) disconnector. To cope with these issues, the EMTP-ATP and Matlab/Simulink software are used to carry out equivalent modeling simulations and experimental research, respectively. More specifically, the very fast transient current generated by disconnector switching (DS) is used as the input source of the equivalent simulation model of the Rogowski coil, and the characteristics of conducted interference waveforms of the Rogowski coil, the active integrator and filter outputs under single and multiple breakdowns are analyzed step by step. Moreover, several anti-interference methods are proposed to improve the resistance to the high-voltage and high-frequency conducted interference for the Rogowski coil, such as reducing the Rogowski cut-off frequency, increasing the transient voltage suppressor (TVS), active filter, and Cy capacitor. Besides, the study also reveals that the residual charge of the integral capacitor will discharge with a time constant tau = 1 s after arc quenching with the first-order discharge circuit, which is composed of the feedback resistance and the integral capacitor C. Lastly, the experimental results demonstrate the correctness of the modeling method proposed in this paper and the effectiveness of anti-interference measures.

Keyword :

gas-insulated switchgear (GIS) Rogowski coil electronic current transformer (ECT) very fast transient current (VFTC) active integrator

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GB/T 7714 Bai, Shijun , Yue, Fanding , Zeng, Lincui et al. A Study to Resist Conduced Interference from GIS Bus-Charging Currents Switching for Electronic Current Transformer [J]. | ELECTRONICS , 2021 , 10 (8) .
MLA Bai, Shijun et al. "A Study to Resist Conduced Interference from GIS Bus-Charging Currents Switching for Electronic Current Transformer" . | ELECTRONICS 10 . 8 (2021) .
APA Bai, Shijun , Yue, Fanding , Zeng, Lincui , Li, Yi , Wang, Chuanchuan , Wang, Xiaohua et al. A Study to Resist Conduced Interference from GIS Bus-Charging Currents Switching for Electronic Current Transformer . | ELECTRONICS , 2021 , 10 (8) .
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Detection of decomposition products of SF6/air gas mixture by electron attachment mass spectrometry SCIE
期刊论文 | 2021 | HIGH VOLTAGE
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Sulphur hexafluoride (SF6) is widely used in gas insulation, and its decomposition products can be used to diagnose potential insulation failures. Quick and accurate detection of decomposition products can help to understand equipment-operating conditions in time. In this study, the decomposition products of SF6/air gas mixtures under different pulsed discharge voltages were studied. It was found that the main products were SOF2, SO2F2, SO2, CF4 and SOF4, and the yields of SOF2, SO2F2, SO2 and SOF4 increased with the number of discharge pulse. The productive rate of SOF2, SO2 and SOF4 were positively correlated with the discharge voltage, and when the discharge voltage increased from 5 to 15 kV, their yields after 50,000 discharges increased by 49%, 120% and 1100%, respectively. The productive rate of SOF2 and SO2 were positively correlated with the proportion of air in the gas mixtures while that of SOF4 was opposite. When the proportion of air increases from 0% to 90%, their yields after 50,000 discharges became 270%, 3169% and 10% of the originals, respectively. In addition, the productive rate of SO2F2 was not affected by discharge voltage and the proportion of air in the gas mixtures. SO2F2, SOF2, SOF4 and SO2 can be used as the basis for judging the discharge failures and the discharge degree of power equipment.

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GB/T 7714 Yuan, Huan , Wang, Xiaonan , Yang, Aijun et al. Detection of decomposition products of SF6/air gas mixture by electron attachment mass spectrometry [J]. | HIGH VOLTAGE , 2021 .
MLA Yuan, Huan et al. "Detection of decomposition products of SF6/air gas mixture by electron attachment mass spectrometry" . | HIGH VOLTAGE (2021) .
APA Yuan, Huan , Wang, Xiaonan , Yang, Aijun , Liu, Dingxin , Wang, Xiaohua , Rong, Mingzhe . Detection of decomposition products of SF6/air gas mixture by electron attachment mass spectrometry . | HIGH VOLTAGE , 2021 .
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Cold Atmospheric-Pressure Plasma Caused Protein Damage in Methicillin-Resistant Staphylococcus aureus Cells in Biofilms SCIE PubMed
期刊论文 | 2021 , 9 (5) | MICROORGANISMS
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Abstract :

Biofilms formed by multidrug-resistant bacteria are a major cause of hospital-acquired infections. Cold atmospheric-pressure plasma (CAP) is attractive for sterilization, especially to disrupt biofilms formed by multidrug-resistant bacteria. However, the underlying molecular mechanism is not clear. In this study, CAP effectively reduced the living cells in the biofilms formed by methicillin-resistant Staphylococcus aureus, and 6 min treatment with CAP reduced the S. aureus cells in biofilms by 3.5 log(10). The treatment with CAP caused the polymerization of SaFtsZ and SaClpP proteins in the S. aureus cells of the biofilms. In vitro analysis demonstrated that recombinant SaFtsZ lost its self-assembly capability, and recombinant SaClpP lost its peptidase activity after 2 min of treatment with CAP. Mass spectrometry showed oxidative modifications of a cluster of peaks differing by 16 Da, 31 Da, 32 Da, 47 Da, 48 Da, 62 Da, and 78 Da, induced by reactive species of CAP. It is speculated that the oxidative damage to proteins in S. aureus cells was induced by CAP, which contributed to the reduction of biofilms. This study elucidates the biological effect of CAP on the proteins in bacterial cells of biofilms and provides a basis for the application of CAP in the disinfection of biofilms.

Keyword :

reactive species methicillin-resistant Staphylococcus aureus oxidative damage biofilm cold atmospheric-pressure plasma

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GB/T 7714 Guo, Li , Yang, Lu , Qi, Yu et al. Cold Atmospheric-Pressure Plasma Caused Protein Damage in Methicillin-Resistant Staphylococcus aureus Cells in Biofilms [J]. | MICROORGANISMS , 2021 , 9 (5) .
MLA Guo, Li et al. "Cold Atmospheric-Pressure Plasma Caused Protein Damage in Methicillin-Resistant Staphylococcus aureus Cells in Biofilms" . | MICROORGANISMS 9 . 5 (2021) .
APA Guo, Li , Yang, Lu , Qi, Yu , Niyazi, Gulimire , Huang, Lingling , Gou, Lu et al. Cold Atmospheric-Pressure Plasma Caused Protein Damage in Methicillin-Resistant Staphylococcus aureus Cells in Biofilms . | MICROORGANISMS , 2021 , 9 (5) .
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Multicomponent SF6 decomposition product sensing with a gas-sensing microchip EI SCIE PubMed
期刊论文 | 2021 , 7 (1) | Microsystems and Nanoengineering
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A difficult issue restricting the development of gas sensors is multicomponent recognition. Herein, a gas-sensing (GS) microchip loaded with three gas-sensitive materials was fabricated via a micromachining technique. Then, a portable gas detection system was built to collect the signals of the chip under various decomposition products of sulfur hexafluoride (SF6). Through a stacked denoising autoencoder (SDAE), a total of five high-level features could be extracted from the original signals. Combined with machine learning algorithms, the accurate classification of 47 simulants was realized, and 5-fold cross-validation proved the reliability. To investigate the generalization ability, 30 sets of examinations for testing unknown gases were performed. The results indicated that SDAE-based models exhibit better generalization performance than PCA-based models, regardless of the magnitude of noise. In addition, hypothesis testing was introduced to check the significant differences of various models, and the bagging-based back propagation neural network with SDAE exhibits superior performance at 95% confidence. © 2021, The Author(s).

Keyword :

Ability testing Chemical detection Backpropagation Microprocessor chips Sulfur hexafluoride Gas detectors Gases Learning systems

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GB/T 7714 Chu, Jifeng , Yang, Aijun , Wang, Qiongyuan et al. Multicomponent SF6 decomposition product sensing with a gas-sensing microchip [J]. | Microsystems and Nanoengineering , 2021 , 7 (1) .
MLA Chu, Jifeng et al. "Multicomponent SF6 decomposition product sensing with a gas-sensing microchip" . | Microsystems and Nanoengineering 7 . 1 (2021) .
APA Chu, Jifeng , Yang, Aijun , Wang, Qiongyuan , Yang, Xu , Wang, Dawei , Wang, Xiaohua et al. Multicomponent SF6 decomposition product sensing with a gas-sensing microchip . | Microsystems and Nanoengineering , 2021 , 7 (1) .
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Low-Temperature Gas Plasma Combined with Antibiotics for the Reduction of Methicillin-Resistant Staphylococcus aureus Biofilm Both In Vitro and In Vivo SCIE PubMed
期刊论文 | 2021 , 11 (8) | LIFE-BASEL
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Biofilm infections in wounds seriously delay the healing process, and methicillin-resistant Staphylococcus aureus is a major cause of wound infections. In addition to inactivating micro-organisms, low-temperature gas plasma can restore the sensitivity of pathogenic microbes to antibiotics. However, the combined treatment has not been applied to infectious diseases. In this study, low-temperature gas plasma treatment promoted the effects of different antibiotics on the reduction of S. aureus biofilms in vitro. Low-temperature gas plasma combined with rifampicin also effectively reduced the S. aureus cells in biofilms in the murine wound infection model. The blood and histochemical analysis demonstrated the biosafety of the combined treatment. Our findings demonstrated that low-temperature gas plasma combined with antibiotics is a promising therapeutic strategy for wound infections.

Keyword :

biofilm low-temperature gas plasma methicillin-resistant Staphylococcus aureus wound antibiotic

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GB/T 7714 Guo, Li , Yang, Lu , Qi, Yu et al. Low-Temperature Gas Plasma Combined with Antibiotics for the Reduction of Methicillin-Resistant Staphylococcus aureus Biofilm Both In Vitro and In Vivo [J]. | LIFE-BASEL , 2021 , 11 (8) .
MLA Guo, Li et al. "Low-Temperature Gas Plasma Combined with Antibiotics for the Reduction of Methicillin-Resistant Staphylococcus aureus Biofilm Both In Vitro and In Vivo" . | LIFE-BASEL 11 . 8 (2021) .
APA Guo, Li , Yang, Lu , Qi, Yu , Niyazi, Gulimire , Zheng, Jianbao , Xu, Ruobing et al. Low-Temperature Gas Plasma Combined with Antibiotics for the Reduction of Methicillin-Resistant Staphylococcus aureus Biofilm Both In Vitro and In Vivo . | LIFE-BASEL , 2021 , 11 (8) .
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A Bayesian Deep Learning RUL Framework Integrating Epistemic and Aleatoric Uncertainties EI SCIE
期刊论文 | 2021 , 68 (9) , 8829-8841 | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
WoS CC Cited Count: 6
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Abstract :

Recent years have witnessed the prominent advancements of deep learning (DL) in the arsenal of prognostics and health management. However, the prognostic uncertainty problem extensively existed in industrial devices is not addressed by most DL approaches. This article formulates a novel Bayesian Deep Learning (BDL) framework to characterize the prognostic uncertainties. A distinguished advantage of the framework is its capacity of capturing the comprehensive effects of two critical uncertainties: 1) epistemic uncertainty, accounting for the uncertainty in the model, and 2) aleatoric uncertainty, representing the impact of random disturbance, such as measurement errors. The former arises from the variability of the model weights, and the latter is characterized by selected lifetime distributions. We integrate both uncertainties by defining BDL as priors of lifetime parameters. A sequential Bayesian boosting algorithm is executed to improve the estimation accuracy and compress the credible intervals. The superior prediction performance of our framework is validated by a real-world dataset collected from hydraulic mechanisms of circuit breakers.

Keyword :

Prediction algorithms Uncertainty Aleatoric uncertainty Bayesian neural network Prognostics and health management Bayes methods remaining useful life Modeling Machine learning epistemic uncertainty Probabilistic logic

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GB/T 7714 Li, Gaoyang , Yang, Li , Lee, Chi-Guhn et al. A Bayesian Deep Learning RUL Framework Integrating Epistemic and Aleatoric Uncertainties [J]. | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2021 , 68 (9) : 8829-8841 .
MLA Li, Gaoyang et al. "A Bayesian Deep Learning RUL Framework Integrating Epistemic and Aleatoric Uncertainties" . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 68 . 9 (2021) : 8829-8841 .
APA Li, Gaoyang , Yang, Li , Lee, Chi-Guhn , Wang, Xiaohua , Rong, Mingzhe . A Bayesian Deep Learning RUL Framework Integrating Epistemic and Aleatoric Uncertainties . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2021 , 68 (9) , 8829-8841 .
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