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Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), CAA Symposium on

作者： Yunkai Wu Bin Jiang Zhiyu Zhu Qingjun Zeng School of Electronics and Information Jiangsu University of Science and Technology Zhenjiang Jiangsu China College of Automation Engineering & Jiangsu Key Laboratory of Internet of Things and Control Technologies Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (数字)9781728106816

ISBN: (纸本)9781728106823

Suspension system, the base of the traction system, whose reliability is of critical importance to the safety of the CRH (China Railway High-speed) train. Incipient FDD (Fault Detection and Diagnosis) of suspension faults can improve the reliability and avoid serious failures in the entire traction systems. Such that, the incipient FDD of spring and damper, the core component of suspension system is urgently demanded. In this paper, a discrete mathematical model for suspension system of a three-car multiple unit is established firstly, based on which, the track irregularities (deterministic disturbances) and then the incipient reduction of spring and damper coefficient (incipient component faults) are further modeled. After that, a data-driven total measurable fault information residual (ToMFIR) based incipient fault detection method is proposed for the possible incipient spring and damper faults. Finally, the proposed theoretical results are applied to a CRH supension simulation system. Simulation results show that the incipient fault detection scheme proposed in this paper provides high sensitivity to incipient suspension faults (spring and damper coefficients reduction of 15% slowly), which has certain reference value in practical engineering applications.

关键词： Fault detection Springs Force Shock absorbers Reliability Mathematical model

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Point spread function modelling for wide field small aperture telescopes with a denoising autoencoder

arXiv

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arXiv 2020年

作者： Jia, Peng Li, Xiyu Li, Zhengyang Wang, Weinan Cai, Dongmei College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan030024 China Nanjing Institute of Astronomical Optics and Technology CAS Nanjing Jiangsu210042 China Department of Physics Durham University South Road DurhamDH1 3LE United Kingdom Wuxi Internet of Innovation Center Company Limited Wuxi Jiangsu214135 China

The point spread function reflects the state of an optical telescope and it is important for data post-processing methods design. For wide field small aperture telescopes, the point spread function is hard to model, because it is affected by many different effects and has strong temporal and spatial variations. In this paper, we propose to use the denoising autoencoder, a type of deep neural network, to model the point spread function of wide field small aperture telescopes. The denoising autoencoder is a pure data based point spread function modelling method, which uses calibration data from real observations or numerical simulated results as point spread function templates. According to real observation conditions, different levels of random noise or aberrations are added to point spread function templates, making them as realizations of the point spread function, i.e., simulated star images. Then we train the denoising autoencoder with realizations and templates of the point spread function. After training, the denoising autoencoder learns the manifold space of the point spread function and can map any star images obtained by wide field small aperture telescopes directly to its point spread function, which could be used to design data post-processing or optical system alignment methods. Copyright © 2020, The Authors. All rights reserved.

关键词： Optical transfer function

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Research and Application on Highway Traffic Index System 18

Research and Application on Highway Traffic Index System

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18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018

作者： Zheng, Yuan Ran, Bin Lu, Zhengfeng Qu, Xu Zhang, Jian Jiangsu Key Laboratory of Urban ITS Southeast Univ. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou #2 Nanjing Jiangsu210096 China School of Transportation Southeast Univ. Collaborative Innovation Center for Technology and Application of Internet of Things China Research Center for Internet of Mobility Southeast Univ. Collaborative Innovation Center for Technology and Application of Internet of Things China

ISBN: (数字)9780784481523

ISBN: (纸本)9780784481523

To evaluate highway traffic operation conditions, this paper researches and applies the highway traffic index. Data were used from the I-880N highway with location 401240 in California, United States. Cross correlation analysis was applied to divide the highway traffic state. Then k-means clustering and quest decision tree model were used to determine the specific value of highway traffic index. Results show that highway traffic index is divided into five levels: smooth, basic smooth, mild congestion, moderate congestion, and severe congestion. The five levels are quantified as (0-2), (2-4), (4-6), (6-8), and (8-10);the division threshold of traffic density at each level is 21.93, 34.82, 41.09, 58.00, and 75.35pcu/mile/lane respectively;color classifications are green, light green, light yellow, yellow, and red;real-time release and release cycle selected based on actual situation. This study establishes a highway traffic index system and provides a theoretical basis for follow-up application. © 2018 American Society of Civil Engineers.

关键词： K-means clustering

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A Methodology for Identifying Urban Traffic Corridors Using Big Data of Cell Phone Trajectory 18

A Methodology for Identifying Urban Traffic Corridors Using ...

引用

18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018

作者： Ji, Xinkai Ran, Bin Zhang, Jian Hong, Yang Zhang, Xiaoli Jiangsu Key Laboratory of Urban ITS Southeast Univ. Si Pai Lou #2 Nanjing Jiangsu210096 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou #2 Nanjing Jiangsu210096 China School of Transportation Southeast Univ. Collaborative Innovation Center for Technology and Application of Internet of Things China Research Center for Internet of Mobility Southeast Univ. Collaborative Innovation Center for Technology and Application of Internet of Things China Hohai Univ. China Collaborative Innovation Center for Technology and Application of Internet of Things China

ISBN: (数字)9780784481523

ISBN: (纸本)9780784481523

Urban traffic corridors are the main arteries of urban traffic operation. Accurate identification of urban traffic corridors is a vital problem that should be addressed in urban public traffic planning. In this paper, a new method for identifying traffic corridors, method of trajectory intersection clustering (MTIC), is proposed. Users' travel trajectories were extracted from cell phone big data using a three-stage trajectory pretreatment method. Then, urban traffic corridors were identified by clustering the intersection points of extracted trajectories and inspection lines. To deal with the huge amount of data, the computing platform Apache Spark was used to implement the method. A case study based on the cell phone data collected in Nanjing in October, 2016, shows the accuracy and efficiency of the proposed method in identifying urban traffic corridors. © 2018 American Society of Civil Engineers.

关键词： Trajectories

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Adaptive Fault-Tolerant control of A Two-car High-speed Train Model with Inter-car Flexible Link and Traction Actuator Failures*

Adaptive Fault-Tolerant Control of A Two-car High-speed Trai...

引用

Asian control Conference

作者： Zehui Mao Gang Tao Bin Jiang Xing-Gang Yan Yali Xue Ministry of Industry and Information Technology and Jiangsu Key Laboratory of Internet of Things and Control Technologies (NUAA) Key Laboratory of Navigation Control and Health Management Technologies of Advanced Aircraft (NUAA) Department of Electrical and Computer Engineering University of Virginia Charlottesville VA USA School of Engineering and Digital Arts University of Kent Canterbury United Kingdom

ISBN: (纸本)9781728102634

This paper studies the adaptive fault-tolerant tracking control problem for the high-speed trains with intercar flexible link and traction actuator failures. This study is focused on a benchmark model which, as a main dynamic unit of the CRH (China Railway High-speed) train, is a two-car dynamic system with a flexible link between two cars, for which the input acts on the second car and the output is the speed of the first car. This model is under parameter uncertainties and subject to uncertain actuator failures. For such an underactuated system, to ensure the first car tracking a desired speed trajectory, a coordinate transformation method is employed to decompose the system model into a control dynamics subsystem and a zero dynamics subsystem. Stability analysis is conducted to show that such a zero dynamic system is Lyapunov stable and is partially input-to-state stable. An adaptive fault-tolerant controller is developed which is able to ensure the closed-loop system signal boundedness and desired speed tracking, in the presence of the actuator failures and unknown system parameters. Simulation results from a realistic train dynamic model are presented to verify the effectiveness of the adaptive controller.

关键词： Automobiles Actuators Fault tolerance Fault tolerant systems Adaptation models Aerodynamics Adaptive systems

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Processing Inductance Loop Detector Data on an Urban Expressways 17

Processing Inductance Loop Detector Data on an Urban Express...

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17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017

作者： Huang, Shuaifeng Li, Linchao Zhang, Jian Zhang, Wenliang Jiangsu Key Laboratory of Urban ITS Southeast Univ. Si Pai Lou #2 Nanjing Jiangsu210096 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou #2 Nanjing Jiangsu210096 China Collaborative Innovation Center for Technology and Application of Internet of Things China

ISBN: (数字)9780784480915

ISBN: (纸本)9780784480915

Processing inductance loop detector data for desirable outputs is essential for traffic management and control. Because there are two kinds of correlations in traffic flow data, namely, spatial correlations and temporal correlations, we propose a loop data processing method based on both spatial and temporal dimensions. The performance of the proposed method is evaluated with the data collected on an urban expressway segment in Shanghai. In addition, the comparisons between time series model (ARMA), spatial multivariate linear model, and comprehensive model based on spatio-temporal characteristics are conducted. The results indicate that the last model can fit the data best. © 2017 ASCE.

关键词： Inductance

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Operation efficiency and safety analysis of integrated ramp metering and mainstream traffic flow control via variable speed limits on freeway 17

Operation efficiency and safety analysis of integrated ramp ...

引用

17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017

作者： Zheng, Yuan Qu, Xu Ran, Bin Zhang, Jian Dai, Guanchen Jiangsu Key Laboratory of Urban ITS Southeast Univ. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou 2 Nanjing Jiangsu210096 China School of Transportation Southeast Univ. Collaborative Innovation Center for Technology and Application of Internet of Things China

ISBN: (数字)9780784480915

ISBN: (纸本)9780784480915

The primary objective of this paper is to analyze freeway operation efficiency and safety of integrated control strategy. The simulation parameters are calibrated and validated using collected data on southbound I-880 freeway in California, the United States. The integrated control is estimated using cascade feedback of mainstream traffic flow control (MTFC-VSL) via variable speed limit. And the application of ramp metering (RM) is connected using specifically developed split-range-like scheme. The integrated control strategy is implemented through VISSIM. The results show that the integrated control had a 41.5% improvement in total travel time (TTT) over the no-control case. Moreover, about 59.8% of total conflicts are reduced by the integrated control strategy than the no-control case. Thus, it is beneficial to well understanding the mechanism of integrated control strategy and using it in practical implementation. © 2018 American Society of Civil Engineers (ASCE). All rights reserved.

关键词： Travel time

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Deep learning for smart agriculture:Concepts,tools,applications,and opportunities

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International Journal of Agricultural and Biological Engineering 2018年第4期11卷 32-44页

作者： Nanyang Zhu Xu Liu Ziqian Liu Kai Hu Yingkuan Wang Jinglu Tan Min Huang Qibing Zhu Xunsheng Ji Yongnian Jiang Ya Guo Key Laboratory of Advanced Process Control for Light Industry Ministry of EducationJiangnan UniversityWuxi 214122China School of Internet of Things Jiangnan UniversityWuxi 214122China Chinese Academy of Agricultural Engineering Beijing 100125China Department of Bioengineering University of MissouriColumbiaMO 65211USA Jiangsu Zhongnong IoT Technology Co. LTDYixing 214200China

In recent years,Deep Learning(DL),such as the algorithms of Convolutional Neural Networks(CNN),Recurrent Neural Networks(RNN)and Generative Adversarial Networks(GAN),has been widely studied and applied in various fields including *** in the fields of agriculture often use software frameworks without sufficiently examining the ideas and mechanisms of a *** article provides a concise summary of major DL algorithms,including concepts,limitations,implementation,training processes,and example codes,to help researchers in agriculture to gain a holistic picture of major DL techniques *** on DL applications in agriculture is summarized and analyzed,and future opportunities are discussed in this paper,which is expected to help researchers in agriculture to better understand DL algorithms and learn major DL techniques quickly,and further to facilitate data analysis,enhance related research in agriculture,and thus promote DL applications effectively.

关键词： deep learning smart agriculture neural network convolutional neural networks recurrent neural networks generative adversarial networks artificial intelligence image processing pattern recognition

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Evaluation of mobility impact on urban work zones using statistical models

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Journal of Central South University 2017年第6期24卷 1513-1521页

作者： LIU Pei ZHANG Jian QU Jun-rong LU Jia-jian CHENG Yang TAN Hua-chun Jiangsu Key Laboratory of Urban ITS Southeast University Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things Southeast University Traffic Operations and Safety (TOPS) Laboratory Department of Civil and Environment Engineering University of Wisconsin-Madison Department of Transportation Engineering Beijing Institute of Technology

This work correlated the detailed work zone location and time data from the Wis LCS system with the five-min inductive loop detector data. One-sample percentile value test and two-sample Kolmogorov-Smirnov(K-S) test were applied to compare the speed and flow characteristics between work zone and non-work zone conditions. Furthermore, we analyzed the mobility characteristics of freeway work zones within the urban area of Milwaukee, WI, USA. More than 50% of investigated work zones have experienced speed reduction and 15%-30% is necessary reduced volumes. Speed reduction was more significant within and at the downstream of work zones than at the upstream.

关键词： ITS data mobility impact work zone statistical model

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A layout model of ambiguous path identification stations on freeway based on the greedy algorithm 17

A layout model of ambiguous path identification stations on ...

引用

17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017

作者： Zhang, Wenliang Zhang, Jian Gao, Zhaohui Huang, Shuaifeng Jiangsu Key Laboratory of Urban ITS Southeast Univ. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou #2 Nanjing Jiangsu210096 China Jiangsu Key Laboratory of Urban ITS Southeast Univ. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou #2 Nanjing Jiangsu210096 China Intelligent Transportation System Research Center Southeast Univ. Si Pai Lou # Collaborative Innovation Center for Technology and Application of Internet of Things Nanjing Jiangsu210096 China Jiangsu Key Laboratory of Urban ITS Southeast Univ. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou #2 Nanjing Jiangsu210096 China

ISBN: (数字)9780784480915

ISBN: (纸本)9780784480915

To solve ambiguous path and toll splitting problem raised by freeway constantly construction, this paper investigates a path identification toll system (PITS) and its architecture based on 5.8 GHz dedicated short range communication (DSRC) technology. Due to the OD coverage criterion and link independence criterion, a layout scheme of ambiguous path identification points which meet the requirement of precise segmentation of road links was proposed. Also, the layout model with the minimum number of points as the target was established. Then, all paths of road network were found with depth-first searching (DFS) algorithm and layout model was found based on greedy algorithm, to select the maximum coverage number of paths. A freeway network in jiangsu province was selected as a case study to clarify the model. In view of freeway networking toll collection condition of jiangsu province, this paper laid the ambiguous path identification points of the whole road network. © ASCE.

关键词： Roads and streets

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