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Minimax entropy-based co-training for fault diagnosis of blast furnace

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Chinese Journal of Chemical Engineering 2023年第7期59卷 231-239页

作者： Dali Gao Chunjie Yang Bo Yang Yu Chen ruilong deng The State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China Jianwei Digital Sphere Co. LtdLianyungang 222113China Jiangsu Binxin Iron and Steel Group Co. LtdChongqing 401220China

Due to the problems of few fault samples and large data fluctuations in the blast furnace(BF)ironmaking process,some transfer learning-based fault diagnosis methods are *** vast majority of such methods perform distribution adaptation by reducing the distance between data distributions and applying a classifier to generate pseudo-labels for ***,since the training data is dominated by labeled source domain data,such classifiers tend to be weak classifiers in the target *** addition,the features generated after domain adaptation are likely to be at the decision boundary,resulting in a loss of classification ***,we propose a novel method called minimax entropy-based co-training(MMEC)that adversarially optimizes a transferable fault diagnosis model for the *** structure of MMEC includes a dual-view feature extractor,followed by two classifiers that compute the feature's cosine similarity to representative vector of each *** transfer is achieved by alternately increasing and decreasing the entropy of unlabeled target samples with the classifier and the feature extractor,*** BF fault diagnosis experiments show that our method improves accuracy by about 5%over state-of-the-art methods.

关键词： Co-training Fault diagnosis Blast furnace Minimax entropy Transfer learning

Detecting the One-Shot Dummy Attack on the Power Industrial Control Processes With an Unsupervised Data-Driven Approach

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 550-553页

作者： Zhenyong Zhang Yan Qin Jingpei Wang Hui Li ruilong deng the State Key Laboratory of Public Big Data and the College of Computer Science and Technology Guizhou UniversityGuiyang 550025China the School of Chemical and Biomedical Engineering Nanyang Technological UniversitySingapore 639798Singapore the State Key Laboratory of Industrial Control Technology and the College of Control Science and Engineering Zhejiang UniversityHangzhou 310027China IEEE

Dear Editor,Dummy attack(DA), a deep stealthy but impactful data integrity attack on power industrial control processes, is recently recognized as hiding the corrupted measurements in normal measurements. In this letter, targeting a more practical case, we aim to detect the oneshot DA, with the purpose of revealing the DA once it is ***, we first formulate an optimization problem to generate one-shot DAs. Then, an unsupervised data-driven approach based on a modified local outlier factor(MLOF) is proposed to detect them.

关键词： Dummy Power letter

Sliding window games for cooperative building temperature control using a distributed learning method

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Frontiers of Engineering Management 2017年第3期4卷 304-314页

作者： Zhaohui ZHANG ruilong deng Tao YUAN S.Joe QIN Viterbi School of Engineering University of Southern California Department of Electrical and Computer Engineering University of Alberta The Chinese University of Hong Kong

In practice, an energy consumer often consists of a set of residential or commercial buildings, with individual units that are expected to cooperate to achieve overall optimization under modern electricity operations,such as time-of-use price. Global utility is decomposed to the payoff of each player, and each game is played over a prediction horizon through the design of a series of sliding window games by treating each building as a *** the games, a distributed learning algorithm based on game theory is proposed such that each building learns to play a part of the global optimum through state transition. The proposed scheme is applied to a case study of three buildings to demonstrate its effectiveness.

关键词： game theory demand response HVAC control multi-building system

Leveraging Data Fitting and Trust Assessment to Improve the Security of Industrial Networks

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Leveraging Data Fitting and Trust Assessment to Improve the ...

机器学习在电力信息物理系统网络安全中的应用

第43届中国控制会议

作者： Heng Zhang Yinchu Wang Yawen Xue ruilong deng Hongran Li Jian Zhang School of Computer Engineering Jiangsu Ocean University College of Control Science and Engineering Zhejiang University

Industrial network control systems(INCSs) are easy to be targeted by attackers due to their high economic *** of the existing defense methods are deployed at the network boundary,which causes high-security risks to INCS once an attacker enters the *** addition,many existing intrusion detection systems(IDSs) build detection models based on historical *** INCS lacks sufficient historical data,it is difficult to build detection models with high *** this paper,we propose a trust assessment model for INCS based on Fourier series fitting employing concept of zero trust to assess the real-time trust of *** model alerts when INCS has low *** test two data injection attacks in the experiment to prove the effectiveness of our approach.

关键词： Zero Trust Fourier Series Curve Fitting Sliding Window Industrial Control System

来源： cnki会议评论

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电力系统自动化 2022年第9期46卷 200-215页

作者：彭莎孙铭阳张镇勇邓瑞龙程鹏浙江大学控制科学与工程学院浙江省杭州市310027 贵州大学计算机科学与技术学院贵州省贵阳市550025

随着信息化程度的不断深入,传统电力系统逐渐发展成为典型的信息物理系统(CPS)。开放的信息系统环境使得电力系统的安全运行面临着各种潜在网络攻击的威胁。近年来,机器学习方法迅猛发展,并已广泛应用于电力CPS网络安全领域。一方面,电... 详细信息

随着信息化程度的不断深入,传统电力系统逐渐发展成为典型的信息物理系统(CPS)。开放的信息系统环境使得电力系统的安全运行面临着各种潜在网络攻击的威胁。近年来,机器学习方法迅猛发展,并已广泛应用于电力CPS网络安全领域。一方面,电力CPS中数据的爆炸式增长以及硬件运算能力的提升为机器学习的应用创造了良好条件;另一方面,相比于传统的基于机理的建模分析方法,基于数据的机器学习方法具有模型构建以及实时性需求2个方面的优势。文中从攻防2个角度对机器学习在电力CPS网络安全领域的应用进行了归纳总结。其中,攻击者角度主要包括拓扑信息推断、攻击资源优化以及攻击构建3个方面;防守者角度主要包括安全保护、攻击检测以及攻击缓解3个方面。最后,分析展望了电力CPS网络安全领域存在的挑战以及未来的研究方向。

关键词：电力系统信息物理系统网络安全机器学习

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面向风电机组转速量测信号缺失的弹性控制策略研究

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控制工程 2024年第11期31卷 2054-2061页

作者：赵世一夏金辉邓瑞龙程鹏浙江大学控制科学与工程学院浙江杭州310027 浙江大学工业控制技术全国重点实验室浙江杭州310027 湖州工业控制技术研究院浙江湖州313000 东南大学自动化学院江苏南京210096

随着风能利用规模的不断增长,风电机组通信系统的脆弱性逐渐暴露,通信链路中时常出现一些故障或拒绝服务攻击,导致量测信号缺失。针对风电机组中转子转速量测信号缺失的问题,提出一种切换型弹性控制策略。首先,建立风电机组系统动态及故... 详细信息

随着风能利用规模的不断增长,风电机组通信系统的脆弱性逐渐暴露,通信链路中时常出现一些故障或拒绝服务攻击,导致量测信号缺失。针对风电机组中转子转速量测信号缺失的问题,提出一种切换型弹性控制策略。首先,建立风电机组系统动态及故障/拒绝服务攻击模型;然后,设计神经网络观测器用于补偿故障/攻击造成的转子转速量测信号缺失;最后,设计切换型弹性控制策略以缓解故障/攻击影响,并基于FAST软件中1.5 MW风电机组进行实验验证。实验结果表明,所提弹性控制方案对于减轻故障/攻击影响、保证转子转速输出跟踪性能、延长风电机组正常使用时间具有显著的优势。

关键词：风电机组转子转速量测信号缺失信号补偿弹性控制

新型电力系统网络安全与运行优化方法及应用专刊序言

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控制工程 2024年第11期31卷 1921-1923页

作者：唐漾刘烃邓瑞龙丁磊刘臣胜毛帅华东理工大学能源化工过程智能制造教育部重点实验室上海200237 西安交通大学网络空间安全学院陕西西安710049 浙江大学工业控制技术全国重点实验室浙江杭州310027 南京邮电大学自动化学院、人工智能学院江苏南京210023 齐鲁工业大学(山东省科学院) 山东省计算中心山东济南250014 南通大学电气与自动化学院江苏南通226019

建设以新能源为主体的新型电力系统,既是能源电力转型的必然要求,也是实现碳达峰、碳中和目标的重要途径。随着传统电力系统向以新能源为主体的新型电力系统转型升级,电力系统在电源主体、网架形态、负荷用电模式等方面也发生了巨大变... 详细信息

建设以新能源为主体的新型电力系统,既是能源电力转型的必然要求,也是实现碳达峰、碳中和目标的重要途径。随着传统电力系统向以新能源为主体的新型电力系统转型升级,电力系统在电源主体、网架形态、负荷用电模式等方面也发生了巨大变化。具体来说,海量分布式发电、储能、灵活负荷以微电网、微能源网的形式接入电网,导致新型电力系统运行环境相对开放,使其更易遭受网络攻击威胁。

关键词：新型电力分布式发电电力系统系统运行环境微电网新能源运行优化方法及应用

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分布式能源参与电力市场研究综述

现代信息科技 2021年第18期5卷 124-126,130页

作者：成谦易潇然夏敏丽邓瑞龙深圳电网智慧能源技术有限公司广东深圳518108

随着国家碳达峰、碳中和目标的制定及构建以新能源为主体的新型电力系统及新型电力系统目标的提出,未来分布式能源将成为能源供应的主体。因此未来分布式能源也将成为电力市场中交易的主体,由于分布式能源负荷特性和传统能源存在较大差... 详细信息

随着国家碳达峰、碳中和目标的制定及构建以新能源为主体的新型电力系统及新型电力系统目标的提出,未来分布式能源将成为能源供应的主体。因此未来分布式能源也将成为电力市场中交易的主体,由于分布式能源负荷特性和传统能源存在较大差异,原有的电力市场交易机制难以适用。文章首先分析了我国分布式能源的现状,接着对国内外分布式能源参与电力市场现状进行分析,最后针对我国分布式能源参与电力市场进行展望并提出了相应的建议。

关键词：分布式资源电力市场参与机制

Emerging direct current triboelectric nanogenerator for high-entropy mechanical energy harvesting

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Science China(Technological Sciences) 2024年第5期67卷 1297-1316页

作者： CHEN Jie GUO ruilong GUO HengYu College of Physics and Electronic Engineering Chongqing Normal UniversityChongqing 401331China Department of Applied Physics Chongqing UniversityChongqing 401331China

In the era of the Internet of Things(IoT),the provision of sustainable power to distributed,mobile,and low-power-consumption electronic devices is a critical *** overcome this challenge,the triboelectric nanogenerator(TENG),a highly efficient high-entropy mechanical energy harvesting device,was developed in *** device enables the direct conversion of irregular and low-frequency mechanical energy into pulsed alternating current(AC)***,the incompatibility of most electronic devices with AC signals necessitates rectifier circuits or generators that deliver direct current(DC)*** recent years,DC-TENGs have undergone extensive development,achieving significant milestones in various application fields while also facing crucial challenges that require *** this review,three categories of DC-TENG devices with distinct operating mechanisms are comprehensively explored:multiphase coupling,mechanical rectification,and air *** typical structures and working mechanisms are thoroughly discussed,and specific output performance limitations,along with corresponding optimization strategies,are ***,the applications of DC-TENGs in various scenarios are ***,the challenges faced by DC-TENGs and potential solutions are analyzed to guide further advancements in this technology.

关键词： TENG direct current working mechanisms output performance limitations optimization strategies