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TSSA-Based Multifault Diagnosis Algorithm for Microgrid Inverter
In industrial applications, the fault diagnosis of equipment often have a lot of complex interferences. Especially, the uncertainty and data loss of detection signals caused by sensors will greatly increase the interference and difficulty for the microgrid system of inverter fault diagnosis, and even result in false alarm and erroneous triggering of protection units. In order to solve the problem,...Show More
Stability Criterion of Load Frequency Control With Multiple Time-Varying Delays: A Delays-Dependent Region Partitioning Approach
IEEE Transactions on Power Systems
Cited by: Papers (1)
In this paper, considering the delay information of each area in the multi-area load frequency control (LFC) system with multiple time-varying delays, an augmented reciprocally convex approach and the Lyapunov theory is proposed for analyzing their delays-dependent stability. For the delay information about all $N$ areas, the delay interval $[-h,0]$ is divided into $\text{2}\,N$ subintervals by us...Show More
A Design Method of Civil Aircraft Warning System Based on MBSE
2024 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC)
Year: 2024 | Conference Paper |
Currently, the design approach for aircraft warning systems is predominantly reliant on documents, which is in contrast to the utilization of model system engineering being rel-atively limited. However, these techniques give rise to challenges such as insufficient design precision, poor model reusability, and complex structural design, which ultimately impact the quality and efficiency of aircraft...Show More
An LSTM-based Target Tracking Method for High-mobility UAV under Incomplete Information Conditions
2024 IEEE 1st International Workshop on Future Intelligent Technologies for Young Researchers (FITYR)
Year: 2024 | Conference Paper |
In the case of an Unmanned Aerial Vehicle (UAV) with high mobility and incomplete observation information, existing tracking methods for the UAV target tracking problem show insufficient robustness and accuracy. In this paper, a long short-term memory(LSTM)-based target tracking method is proposed, based on the addition of incomplete information and observation misalignment judgment method to the ...Show More
Meta-Path Guided Heterogeneous Social Occasion Service Composition Embedding Based on BERT
2024 IEEE 1st International Workshop on Future Intelligent Technologies for Young Researchers (FITYR)
Year: 2024 | Conference Paper |
Social occasion service is a popular service type which is available in many lifestyle apps. Package style value-added social occasion services can be provided to achieve more complex functions for requesters needs by service composition. But with the increase in the types and quantities of atomic services, commonly used service composition processes face difficulties in service decomposition, req...Show More
Multi-Reservoir Fully Connected Echo State Network for Wind Power Prediction
Kangshuai Guo;Xianshuang Yao;Zhanjun Huang;Shengxian Cao;Qingchuan Ma;Bin Wang
2024 36th Chinese Control and Decision Conference (CCDC)
Year: 2024 | Conference Paper |
Optimized control of wind power plants has a high demand for wind power prediction accuracy. Accurate wind power prediction data enables wind power plants to better arrange production plans, improve energy utilization efficiency, reduce energy losses, and make the power grid operation stable. In this paper, considering the impact of wind speed instability and unpredictability on wind power generat...Show More
Optimal Scenario Reduction Method for Stochastic Programming via Probabilistic Similarity Function
2024 36th Chinese Control and Decision Conference (CCDC)
Year: 2024 | Conference Paper |
In the scenario-based stochastic programming problems, the computational burden increase as the number of scenarios increases, which involves necessary scenario reduction operations. For the scenario reduction problem with high-dimensional random vector, an optimal reduction framework is presented to eliminate redundant scenarios. In this framework, the concept of probabilistic similarity function...Show More
A Novel Time-Domain Fault Diagnosis Method With ELM for Aviation Intermediate Frequency Inverter
The fault diagnosis for the intermediate frequency (IF) inverter in the aviation industry has always been a difficult problem. However, most of the existing fault diagnosis methods are not directly applicable to it due to changes in system characteristics. In order to solve this problem, a new fault diagnosis model is proposed. Firstly, preliminary parameters are extracted from the measured curren...Show More
Design and Calibration of an Ungrounded Double-Loop Active Differential Magnetic Probe
Lijuan Huang;Jinfu Liao;Zhanjun Huang;Weiheng Shao;Yan Chen;Lei Wang;Zhiqiang Yi;Yangyang Zhou;Jianying Wang
In this article, an ungrounded double-loop active differential magnetic field probe (UDAHP) is proposed. The proposed probe includes two low-noise amplifiers (LNAs) and an ungrounded double-loop detection structure, which can ensure a high magnetic field response. The detection structure also includes a shielded ground plate for suppressing electric field coupling and improving the common-mode rej...Show More
A Virtual Network Matching Method for Correcting Asymmetric Near-Field Probing System
Weiheng Shao;Caixu Yu;Xinxin Tian;Zhanjun Huang;Wanqing Jing;Chengyang Luo;Litao Ruan;Yinghui Chen;Shan Xue;Duo-Long Wu
In symmetric two-port probing system, the measured electromagnetic field signals can be decoupled. However, in practical application, asymmetric problem is difficult to avoid. So, correcting asymmetric probing system (APS) is significant to achieve ultra-wide-band near-field measurement. In this article, a virtual network matching method (VNMM) is proposed based on a circuit model, which is differ...Show More
A Diagnostic Method for Inverter Faults in Aviation VSCF System Based on Voltage Vector Diagram and Crossing Phase Reconfiguration
Zhanjun Huang;Xin Dong;Xianshuang Yao;An Zhang;Kang Hu;Xiaohua Chen
2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST)
Year: 2023 | Conference Paper |
The inverter of variable speed constant frequency system is the indispensable equipment to maintain the normal operation of avionics system. However, the open-circuit fault diagnosis of aeronautical complex intermediate-frequency inverter is always a thorny problem. To solve this problem, this paper creatively proposes a fault diagnosis algorithm. First, the average model is utilized to analyze th...Show More
UPPAAL-Based Model Structure Transformation Algorithm from STM to TA
Zhanjun Huang;Yiming Wang;Wenzhuo Shang;Jianing Yan;An Zhang
2023 IEEE International Conference on Energy Internet (ICEI)
Year: 2023 | Conference Paper |
Transforming semi-formal models with intuitive features into formal models with strict system behavior descriptions can effectively improve system development efficiency. This paper analyzes the characteristics and differences of the SysML state machine diagram (STM) model and the Timed Automata (TA) model. A corresponding conversion algorithm is proposed for the typical composite state structure ...Show More
Asymmetric Calibration and Characterization for Diff-Port Magnetic Field Probing System
Weiheng Shao;Hui Li;Zhanjun Huang;Xin-Xin Tian;Lianghua Ye;Yiqiang Chen;Xiao He
Strict symmetry limits the application of the differential port (diff-port) magnetic field probing system (DMPS). Asymmetric calibration is very meaningful for DMPS. Ultrawindband asymmetric calibration theory was first proposed and applied to the electromagnetic field measurement system. However, the asymmetric calibration theory is not clear for the DMPS because only the magnetic field is concer...Show More
Deep Echo State Network With Multiple Adaptive Reservoirs for Time Series Prediction
In this article, considering the plasticity of reservoir, a deep echo state network with multiple adaptive reservoirs in series configuration, called MAR-DESN, is proposed for time series prediction. First, according to the characteristics of input signals and reservoir states, the number of reservoirs of MAR-DESN and each reservoir size can be automatically determined by using the principal compo...Show More
Complementary Virtual Mirror Fault Diagnosis Method for Microgrid Inverter
The data loss and corresponding false fault features of single-phase or multiphase detection signals caused by sensors is a relatively troublesome problem, which can increase the difficulty to the fault diagnosis of switch fault and open-phase fault of inverter, and even can lead to false alarm. For these problems, a complementary virtual mirror fault diagnosis method for microgrid inverter is pro...Show More
A Multiswitch Open-Circuit Fault Diagnosis of Microgrid Inverter Based on Slidable Triangularization Processing
In this article, a robust inverter fault diagnosis algorithm is proposed under microgrid environment considering unbalanced state and overcurrent component interference. First, the detected signals are transformed into different data triangles by the proposed slidable triangularization processing which can conveniently and effectively extract the multiscale trend features and data jitter component...Show More
A Fault Diagnosis Algorithm for Microgrid Three-Phase Inverter Based on Trend Relationship of Adjacent Fold Lines
Fault diagnosis of a microgrid inverter is susceptible to asymmetric interference such as overcurrent component and bias component. It may lead to uncertain fluctuation of diagnosis features, even false alarm and erroneous triggering of protection units. Therefore, for a microgrid inverter, a robust fault diagnosis algorithm is necessary to cope with such asymmetric interference. Motivated by this...Show More
A Practical Fault Diagnosis Algorithm Based on Aperiodic Corrected-Second Low-Frequency Processing for Microgrid Inverter
For most existing aperiodic fault diagnosis algorithms of microgrid inverter, because of the common aperiodic processing features, they have relatively higher amount of algorithm startup, calculation, and complexity. These features increase the hardware requirements and realization difficulty, greatly affect the practicability. In order to improve above-mentioned problems, a practical fault diagno...Show More
Multi-Switches Fault Diagnosis Based on Small Low-Frequency Data for Voltage-Source Inverters of PMSM Drives
For the inverter fault diagnosis of permanent magnet synchronous machine drives, it is difficult to simply and conveniently use the small low-frequency data without needing additional hardware and affecting the accuracy of the diagnosis results. This problem often leads to unnecessary computation and wastes a lot of corresponding system memory, increases the hardware requirements and realization d...Show More
Delay-dependent stability analysis for load frequency control systems with two delay components
2018 Chinese Control And Decision Conference (CCDC)
Year: 2018 | Conference Paper |
Cited by: Papers (3)
This paper investigates the delay-dependent stability of the LFC scheme considering two time-varying delays, a new less conservative delay-dependent stability criterion is proposed to study the delay margin of LFC system with PI controller based on Lyapunov-Krasovskii (LK) functional method and linear matrix inequality (LMI) technique. In the presented stability analysis procedure, the time deriva...Show More
A Diagnosis Algorithm for Multiple Open-Circuited Faults of Microgrid Inverters Based on Main Fault Component Analysis
This paper presents a new open-circuit fault diagnosis algorithm for multiple switch of microgrid inverter in different load change condition. From the analysis of the waveform features and frequency composition for the main fault component under the different switch states, a low frequency sampling principle of the main fault component is developed. For the proposed fault diagnosis algorithm, fir...Show More
Multiple Open-Circuit Fault Diagnosis Based on Multistate Data Processing and Subsection Fluctuation Analysis for Photovoltaic Inverter
In this paper, a practical fault diagnosis algorithm is presented to realize multiple open-circuit fault diagnosis for photovoltaic (PV) inverters. By the feature analysis for the output currents of normal and fault states, a fault diagnosis algorithm is developed, which is composed of multistate data processing (MSDP) block, subsection fluctuation analysis (SSFA) block, and the artificial neural ...Show More
Multiscale Adaptive Fault Diagnosis Based on Signal Symmetry Reconstitution Preprocessing for Microgrid Inverter Under Changing Load Condition
IEEE Transactions on Smart Grid
Cited by: Papers (59)
In this paper, a multiscale adaptive fault diagnosis (MAFD) method based on signal symmetry reconstitution preprocessing (SSRP) is proposed to realize fault diagnosis for any switch of the microgrid inverter under changing load condition. The MAFD method is composed of SSRP, multiscale features extraction, and artificial neural network (ANN). First, the SSRP method is used to generate the input si...Show More
Multilevel feature moving average ratio method for fault diagnosis of the microgrid inverter switch
Multilevel feature moving average ratio method is proposed to realize an open-switch fault diagnosis for any switch of the microgrid inverter. The main steps of the proposed method include multilevel signal decomposition, coefficient reconstruction, absolute average ratio process and artificial neural network U+0028 ANN U+0029 classification. Specifically, multilevel signal decomposition is realiz...Show More
Adaptive Predefined Performance Control for MIMO Systems With Unknown Direction via Generalized Fuzzy Hyperbolic Model
An adaptive predefined performance control problem is investigated for a class of multiple-input multiple-output systems with unknown control direction and unknown backlash-like hysteresis nonlinearities by using generalized fuzzy hyperbolic model (GFHM). Compared with the existing methods, the main features are as follows: the prediction error is introduced to construct the adaptive laws, which m...Show More
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