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A Causal Fusion Inference Method for Industrial Alarm Root Cause Analysis Based on Process Topology and Alarm Event Data

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Journal of Beijing Institute of Technology 2022年第4期31卷 371-381页

作者： Pan Zhang Wenkai Hu Xiangxiang Zhang Jianqi An School of Automation China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China

Modern industrial systems are usually in large scale,consisting of massive components and variables that form a complex system *** to the interconnections among devices,a fault may occur and propagate to exert widespread influences and lead to a variety of *** the root causes of alarms is beneficial to the decision supports in making corrective alarm *** data-driven methods for alarm root cause analysis detect causal relations among alarms mainly based on historical alarm event *** improve the accuracy,this paper proposes a causal fusion inference method for industrial alarm root cause analysis based on process topology and alarm events.A Granger causality inference method considering process topology is exploited to find out the causal relations among *** topological nodes are used as the inputs of the model,and the alarm causal adjacency matrix between alarm variables is obtained by calculating the likelihood of the topological Hawkes *** root cause is then obtained from the directed acyclic graph(DAG)among alarm *** effectiveness of the proposed method is verified by simulations based on both a numerical example and the Tennessee Eastman process(TEP)model.

关键词： roots cause analysis causality inference process topology alarm events

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Adaptive SOM neural network algorithm 3

Adaptive SOM neural network algorithm

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3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2023

作者： Wang, Xin Yan, Taishan School of Information Science and Engineering Hunan Institute of Science and Technology Hunan Yueyang China Hunan Institute of Science and Technology School of Information Science and Engineering China Key Laboratory of Hunan Province on Intelligent Control and Optimization of Complex Industrial Logistics System Hunan Yueyang China

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

In order to improve the performance of traditional SOM model, an adaptive SOM neural network algorithm is proposed. By introducing the error square sum solution formula, the clustering error of the model sub-data set is calculated by using the method of cutting the data set, and the change trend of the clustering error is quickly obtained. Then the learning rate of the SOM network is adaptively adjusted according to this, and the convergence speed is accelerated on the basis of ensuring that the network is fully trained, thereby improving the performance of the SOM network. © 2023 SPIE.

关键词： Errors

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POWERLINK Communication Fault Detection Method Based on Data Frames Sequence Analysis

POWERLINK Communication Fault Detection Method Based on Data...

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2022 International Conference on Signal Processing and Communication Technology, SPCT 2022

作者： Wang, Jian Xie, Chuang Dong, Ce Key Laboratory of Networked Control System ShenYang China Shenyang institute of automation Chinese academy of sciences ShenYang China Institutes for Robotics and Intelligent Manufacturing ChineseAcademy of Sciences ShenYang China

ISBN: (纸本)9781510664333

Fault diagnosis, location and maintenance of industrial networks are extremely important components of network management, which can effectively improve network availability, shorten network failure time, help improve network performance, satisfy network service quality and ensure network security. This paper proposes a communication fault detection method based on the analysis of communication protocol message flow for POWERLINK, an industrial Ethernet protocol widely used in the field of industrial communication at present. By monitoring network status and building fault judgment logic, it can analyze the rationality of message sequence and protocol consistency in the message flow so as to effectively detect the dynamic upper layer protocol fault in the network and determine the location of the fault. In order to verify the effectiveness of this method, we designed a POWERLINK network communication fault diagnosis system, which can correctly identify and analyze the wrong data frame sequence in the data message flow and finally achieve the diagnosis and location of POWERLINK network communication fault. © 2023 SPIE.

关键词： Fault detection

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A Modified RC and Diode Co-Triggered ESD Clamp Circuit 1

A Modified RC and Diode Co-Triggered ESD Clamp Circuit

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1st Annual International EOS/ESD Symposium on Design and system, IEDS 2020

作者： Yang, Zhaonian Zhang, Yibo Mao, Pan Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an710048 China

ISBN: (纸本)9781585373284

This paper presents a new ESD clamp circuit which is co-triggered by RC and diode. It is immune to the false triggering caused by fast power-up events due to the diode detection mechanism. With the addition of a common source amplifier, the detection signal is enhanced, and the clamp device is turned on more quickly. The proposed circuit is designed in a 0.18 μm 1.8-V CMOS process and verified by numerical simulation. The characteristics and improvements of the new circuit are discussed. © 2021 EOS/ESD ASSOCIATION INC.

关键词： Diodes

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Data-driven Modeling of Nonlinear Joints in Space Structures 41

Data-driven Modeling of Nonlinear Joints in Space Structures

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第41届中国控制会议

作者： Yonglei Zhang Xiaoyu Wang Xinyuan Li Hao Wen Shidong Xu State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing Institute of Spacecraft System Engineering

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The existence of nonlinear joints has a great influence on the dynamics of large flexible sapce *** a prerequisite of attitude control and vibration suppression of flexible spacecraft,it is of great importance to establish highconfidence models of joints to predict its dynamic characteristics ***,a single-degree-of-freedom model of the nonlinear joint is established based on the describing function method and harmonic balance method(HBM).In particular,the dynamic funtions of the joints with cubic stiffness and freeplay nonlinearity are derived,and the response and external excitation data are used to train surrogate models by a multi-step DNN *** validity of the data-driven modeling approach is further verified by response prediction under a different excition ***,the characteristic of an unknown nonlinearjoint is revealed by the data-driven modeling approach based on the experimental data.

关键词： Nonlinear joints space structures data-driven modeling response prediction

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Mid-Iong Term Photovoltaic Power Forecasting Method Considering Periodicity Characterization

Mid-Iong Term Photovoltaic Power Forecasting Method Consider...

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2024 IEEE IAS Industrial and Commercial Power system Asia, I and CPS Asia 2024

作者： Zhuo, Minyi Yang, Ming Li, Peng Sun, Yi Liu, Rui Zheng, Zhijie Shi, Bingke Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China Economic & Technology Research Institute State Grid Shandong Electric Power Company Power Grid Planning Research Department Jinan China

ISBN: (纸本)9798350352290

Accurate forecasting of mid-long term photovoltaic power plays a key role in site planning, operation scheduling and mid-long term plan development for new power system. Meanwhile, the uncertainty in solar power generation is a key factor influencing the precision of its forecasting. This paper proposes a mid-long term PV power forecasting method considering periodic characterization, which first obtains the key meteorological factors through the maximal information coefficient, and extracts the timing features through ARIMA model for mid-long term PV power periodic component prediction. Then the results obtained from above are inputted to the LSTM model, which is trained using raw data to obtain the final PV power prediction results with high accuracy. Validation is carried out through the model's RMSE, MAE and MAPE metrics and the comparison of the model's forecasting results with traditional GRU model. © 2024 IEEE.

关键词： Solar power generation

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Virtual Models for Operating on Mobile Devices 3

Virtual Models for Operating on Mobile Devices

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3rd International Conference on Mechatronics and Automation Technology, ICMAT 2024

作者： Wang, Xiaofei Xu, Jinyou Xue, Yahong Zhang, Runfeng Hao, Tianze Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China

ISBN: (纸本)9781643685649

In recent years, the virtual reality technique has been widely used in many fields. One of the most popular applications is for generating virtual models that can be operated on the screen. In the paper, three methods of obtaining virtual models are introduced. One method is by scanning the quick response code. Another method is the use of CADbro software. The third way is to develop an app to help the digital world emerge in real-life scenarios. With the help of virtual technology, ways of teaching, modes of production, and film production are changing. The three methods mentioned in the paper make it easy to generate virtual models for people to operate on mobile devices. Virtual models generated by the three methods can be operated by touching the screen or operating the mouse, whenever and wherever. © 2024 The Authors.

关键词： Virtual environments

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A Networked Method Applied to Sensitivity Analysis of a VSG controlled BESS system 5

A Networked Method Applied to Sensitivity Analysis of a VSG ...

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5th International Conference on Power Engineering, ICPE 2024

作者： Sun, Zhiyuan Luo, Chao Zheng, Kun Zhu, Yihua Yu, Jiawei Guangxi Power Grid Electric Power Research Institute China S. Power Grid Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning China Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc Guang zhou China National Energy Power Grid Technology R&d Centre Guang zhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guang zhou China

ISBN: (纸本)9798331531140

The grid-forming battery energy storage system (BESS) plays important role in constructing new energy system. This paper presents a frequency domain modal-based stability analysis of virtual synchronous generator (VSG) controlled BESS. Both ac and dc side interactive dynamics of the grid-tied inverter system are considered, by establishing a hybrid ac/dc impedance network. Then, the frequency domain modal analysis (FMA) method for networked converter systems is applied to the BESS system, covering the eigen-sensitivity from the node level to parameter level. Using this method, key parameters that influence the BESS system's weakly/negative damping modes most can be better analyzed and identified. The analysis results are validated via the time-domain simulations. © 2024 IEEE.

关键词： Frequency domain analysis

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Research on Frequency Transmission Scheme of Wind Farm in the Scenario of DC Islanding 5

Research on Frequency Transmission Scheme of Wind Farm in th...

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2022 5th International Conference on Mechanical, Electrical and Material Application, MEMA 2022

作者： Song, Yu Wu, Shouyuan Wang, Qian Li, Weichao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Shandong Province Jinan250061 China

With the wide application of new energy technologies, wind power has become one of the technologies with the largest development scale. Voltage Source Converter based High Voltage Direct Current Transmission system has unique advantages in its active and reactive power decoupling control, etc., and has become the main solution to solve the wind power transmission of large-scale wind farms. This paper studies the control characteristics and basic principles of new energy generation in the passive transmission system of DC island power grids, and proposes a frequency signal transmission scheme in the external transmission scenario. The simulation results verify the feasibility of the frequency signal transmission scheme between the sending-end wind farm and the receiving-end power grid in the DC islanding scenario, and that the VSC-HVDC system can quickly provide active power support and improve the dynamic frequency stability of the interconnected system. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Electric power transmission networks

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Neural Network Technology Applied in Fault Detection and Simulation of Power systems 8

Neural Network Technology Applied in Fault Detection and Sim...

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8th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2024

作者： Hong, Zeqi Huang, Libin Hu, Yufeng Guo, Haiping Lu, Yuanhong Hu, Binjiang Zhang, Jingyue Luo, Hui Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc Guangzhou China National Energy Power Grid Technology R and D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Institute China Southern Power Grid Csg Key Laboratory for Power System Simulation Electric Power Research Guangzhou China

ISBN: (纸本)9798331506230

With the escalating demand for power inspection and equipment maintenance, developing effective algorithms for power system fault detection is crucial for ensuring the safety and stability of power systems. This paper leveragesthe Trellis network, enhanced with an attention module, to significantly improve the Trellis network's capability in recognizing power fault images, thus better addressing fault identification tasks within power systems. Through testing on a self-constructed dataset and comparative experiments with models such as DCNN, RCNN, and DenseNet, the proposed attention mechanismenhanced Trellis network algorithm has demonstrated its effectiveness and superiority in fault detection. © 2024 IEEE.

关键词： Power distribution faults

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