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Fault diagnosis for industrial alarm floods based on Discrete Hidden Markov Model

Fault diagnosis for industrial alarm floods based on Discret...

引用

第42届中国控制会议

作者： Xiwen Huang Wenkai Hu Weihua Cao School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

A fault diagnosis method based on Discrete Hidden Markov Models is proposed in this paper to identify the fault causing alarm flood sequences. The proposed method consists of the following steps: First, the alarm flood data is pre-processed to ensure that all sequences are of uniform length, and a separate Discrete Hidden Markov model is trained for each fault to capture the relationship between the fault and the alarm sequences. Second, given an observation sequence, the log-likelihood probability values under different Discrete Hidden Markov models are calculated and the maximum probability is selected to determine the type of corresponding fault. Last, the feasibility of the proposed method is verified by simulation data obtained from a public industrial model. The results show that the method can effectively identify the faults that trigger alarm floods.

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The 110kV Live-maintaining Robot Control System Design For Substation Equipment in Complex Working Conditions

The 110kV Live-maintaining Robot Control System Design For S...

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第42届中国控制会议

作者： Chenyu Hu Xin Chen Chengyu Li Guangxian Huang Cheng Zhou Xu Jian School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

Live-maintaining work is essential for continuous power supply to the *** improve the safety and efficiency of live-maintaining work,this paper proposes an equipotential live-maintaining robot system suitable for 110 kV voltage *** the narrow space,complex working conditions and strong electromagnetic interference in substations,binocular vision technology,manipulator trajectory planning algorithm based on timeenergy optimization,high voltage electromagnetic shielding technology are utilized to develop the system,and the live-maintaining robot is successfully applied in actual *** accurately identifying and locating the joint bolts and insulator,the robot system can achieve equipotential live-disassemble,live-assemble the joint bolts within18 minutes and live-clean insulator within 5 minutes,demonstrating its the effectiveness and practicability.

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A Feature Difference Network for Defect Detection on the Surface with Complex Pattern of Ceramic Tile

A Feature Difference Network for Defect Detection on the Sur...

引用

第42届中国控制会议

作者： Jianru Xiong Jianqi An Xing-ao Wang Huimin Ou Xin Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

The surface defects of ceramic tile greatly affect the service life of ceramic *** present,many detection methods of ceramic tile surface defects are mostly used for ceramic tiles with monochrome background or simple ***,many tiles with complex and irregular surface patterns are used in practical applications,but many methods cannot effectively detect surface defects in such *** paper presents a double input feature difference network structure to overcome the ***,a double input channel is constructed to extract features from the template image and the defect image ***,a method of feature difference is performed at different depths to suppress the background interference and prevent misclassification between different defect *** a parameter-free attention module is embedded in the backbone to improve the ability of feature *** results show that this model effectively improves the mean average accuracy of 8.3%and the recall rate of 11.7%.

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Semantic Segmentation of Historical Landslide Based on Improved U-Net

Semantic Segmentation of Historical Landslide Based on Impro...

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第42届中国控制会议

作者： Hanqi Qu Chengda Lu Yutong Pan Yuxuan Zeng Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

Landslide disasters are extremely *** identification of landslides plays an important role in disaster assessment,loss control and post-disaster *** paper proposes a semantic segmentation landslide identification method based on improved *** deep convolution neural network and jump connection method is used for end-toend semantic segmentation to achieve deep feature extraction and fusion of different receptive fields,thus enriching feature *** modules are adopted to enhance the ability of the model to extract important features,so as to further improve the accuracy of model *** experiments show that our improved U-Net achieves better performance than the original algorithm on our landslide *** results of lou are improved by 4.12% which demonstrates our work is of great significance for the research of landslide area ***,the model is deployed to the web and applied to the geological hazard intelligent monitoring system to realize the landslide identification task.

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Model Predictive Load Frequency Control for Power systems Under New Event-triggered Mechanism

Model Predictive Load Frequency Control for Power Systems Un...

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第42届中国控制会议

作者： Ziqian Wang Fan Wei Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

In this article, we pay attention to event-based model predictive control(MPC) for load frequency control of multiarea power system. Considering the practical issues, the inputs are subject to hard constraints. A novel dynamic event-triggered mechanism(DETM) which contains an additive internal dynamic variable and an adjusting variable is designed to reduce data transmission burden. The MPC problem is expressed as a "min-max" optimisation problem. By considering the effects of load disturbances and the DETM, we give the design approach for the controller which integrates H2 and H∞ performance indexes through an auxiliary optimization problem. A simulation example is provided to verify the effectiveness of the proposed algorithm.

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Displacement prediction of landslide using SARIMA model based on seasonal characteristic

Displacement prediction of landslide using SARIMA model base...

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第42届中国控制会议

作者： Ruoxi Wu Chengda Lu Wanke Yu Min Wu Xuzhi Lai School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

Landslide displacement prediction is an important and indispensable part of landslide monitoring and *** change of the displacement is always considered being related to inducing factors,which are aimed at improving accuracy of the predicted ***,the seasonal characteristic of the displacement,which has not been carefully analyzed,reveals the law of inducing *** order to gain a deeper understanding of characteristics,the Baijiabao landslide is taken as an *** variational mode decomposition(VMD) method,which can extract effective information well,is introduced to decompose the *** the seasonal parameters,the seasonal autoregressive integrated moving average(SARIMA) model is established to predict the displacement ***,accumulative displacement prediction values are obtained by superimposing the predicted *** higher accuracy and lower error,the VMD-SARIMA model proves a better option in application compared with VMD-ARIMA,SARIMA and ARIMA models.

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Comparative Study of HVDC and HVAC systems in Presence of Large Scale Renewable Energy Sources 20

Comparative Study of HVDC and HVAC Systems in Presence of La...

引用

20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2020

作者： Hussein, Israa Ismael Essallah, Sirine Khedher, Adel Université de Sousse Ecole Nationale d'Ingénieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia

ISBN: (纸本)9781728188157

Compared to high voltage alternative current (HVAC) technology, the high voltage direct current (HVDC) transmission allows electrical renewable power (such as solar and wind) transporting over several thousand kilometers with minimum losses. This technology enables large scale solar power penetration in the current power grid. The aim of this paper is to present a comparative study between the HVDC and the HVAC photovoltaic system integration methods. The impact of the renewable energy penetration on the power load flow and short circuit levels (SCLs) using double circuit links for HVAC and bipolar links for HVDC is also investigated. The study is carried out on the Iraqi Super grid using PSS/E software package for different transmission line lengths. Simulation results demonstrate that the HVDC system surpasses the HVAC one in terms of power losses and SCL minimization. © 2020 IEEE.

关键词： HVDC power transmission

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An Active Suppression Method Considering Input Time-Delay for Stick-Slip Vibration in the Drilling Procedure

An Active Suppression Method Considering Input Time-Delay fo...

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第42届中国控制会议

作者： Hao Sun Chengda Lu Zhaoqing He Shengnan Tian Zhejiaqi Ma Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper uses the wave equation to explain the torsional motion of the drill-string system.S olving the wave equation with the D'Alembert method,a neutral time-delay model of the drill-string system is *** disturbance input,caused by the bit-rock interaction,is given consideration,and an equivalent-input-disturbance(EID) based controller is designed to mitigate the disturbance in the established *** the actual drilling procedure,the system input time-delay increases as the length of the drill columns *** the influence of system input time-delay in the drilling procedure is ignored,it will most likely lead to the drill-string system instability and cause serious *** essential contribution of this paper is the incorporation of input time-delay into the EID based control *** the system's input time-delay,the proposed model is more practical and has significant implications for stick-slip vibration assessment and control in drilling procedures.

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Robust Control of Feeding Speed for Coal Mine Tunnel Drilling Machines 25

Robust Control of Feeding Speed for Coal Mine Tunnel Drillin...

引用

25th IEEE International Conference on Industrial technology, ICIT 2024

作者： Liu, Xiao Chen, Luefeng Wu, Min Cao, Weihua Lu, Chengda Pedrycz, Witold School of Automation China University of Geosciences Wuhan China School of Automation The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems The Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Istinye University Department of Computer Engineering Sariyer Istanbul34396 Turkey

Changes in coal seam hardness cause fluctuations in the feed resistance at the drill bit during the drilling process, leading to unstable feeding speed. This paper proposes a robust dynamic output feedback controller to suppress disturbances caused by the variations in coal seam hardness in the feed system. Firstly, an unknown parameter measuring coal seam hardness is introduced, and an uncertain model of the feeding system is established based on the finite element model of the drill string. By designing weighted functions based on industrial field requirements and constructing a generalized plant, the controller achieves loop shaping, reducing the low-frequency impact of coal seam hardness variations on the feed system and suppressing the systems resonance peak. Simulation results demonstrate that the controller effectively suppresses parameter variations and external disturbances caused by changes in coal seam hardness, achieving stable control of the drilling speed. © 2024 IEEE.

关键词： Robust control

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Image Super-resolution of Residual-dense Connected Networks in Unmanned Deep-sea Exploration Equipment

Image Super-resolution of Residual-dense Connected Networks ...

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第42届中国控制会议

作者： Jiajun Chu Weihua Cao Chao Gan Yulong Yang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

Deep-sea unmanned exploration equipment is an important tool for exploring and developing the resources in the ocean, and it can survey the deep-sea environment more visually with the help of visual images. However, the complex and variable environment and the low resolution of the underwater lens lead to the poor resolution of the images acquired by the equipment. In this paper, we propose a residual-dense connected method applied to unmanned deep-sea exploration equipment to improve it's image resolution. The method uses dense connections within the residual structure to improve the model detail information acquisition to ensure accuracy and model stability of ***, through the study of the model performance, a high precision residual-dense connected model with less computational effort is designed. Finally, the model is trained and tested using environmental images in deep-sea conditions, and it is demonstrated that the method can be applied to deep-sea unmanned exploration equipment for fast, accurate, and stable image super-resolution processing.

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