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检索条件"主题词=Data-driven fault detection"
22 条 记 录,以下是11-20 订阅
排序:
A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear fault detection
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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2020年 第8期16卷 5042-5052页
作者: Ren, Zelin Zhang, Wensheng Zhang, Zhizhong Chinese Acad Sci Inst Automat Res Ctr Precis Sensing & Control Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 101408 Peoples R China
In the era of big data, data-driven fault detection is vital for modern industrial systems. This article considers the potential complexity of fault detection and proposes a novel nonlinear method based on nonnegative... 详细信息
来源: 评论
Chatter detection and Diagnosis in Hot Strip Mill Process With a Frequency-Based Chatter Index and Modified Independent Component Analysis
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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2020年 第12期16卷 7812-7820页
作者: Jo, Ha-Nui Park, Byeong Eon Ji, Yumi Kim, Dong-Kuk Yang, Jeong Eun Lee, In-Beum Pohang Univ Sci & Technol Dept Chem Engn Pohang 37673 South Korea Pohang Iron & Steel Co Ltd Gwangyang 540090 South Korea
In this article, we propose a framework to monitor the chatter phenomenon and to diagnose the cause variables of chatter occurred in the hot strip mill process (HSMP). For monitoring chatter, we develop a chatter inde... 详细信息
来源: 评论
fault detection for Low-Voltage Residential Distribution Systems With Low-Frequency Measured data
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IEEE SYSTEMS JOURNAL 2020年 第4期14卷 5265-5273页
作者: Shafiei, Mehdi Golestaneh, Faranak Ledwich, Gerard Nourbakhsh, Ghavameddin Gooi, Hoay Beng Arefi, Ali Lloyds Register Melbourne Vic 3000 Australia Australian Energy Market Operator Melbourne Vic 3000 Australia Queensland Univ Brisbane Qld 4072 Australia Nanyang Technol Univ Singapore 639798 Singapore Murdoch Univ Murdoch WA 6150 Australia
Increasing the number of active consumers in distribution networks necessitates transforming the current control, monitoring, and protection schemes. However, on one hand, installing high-frequency measurement devices... 详细信息
来源: 评论
data-driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring
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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2020年 第4期16卷 2839-2848页
作者: Jiang, Qingchao Yan, Shifu Yan, Xuefeng Yi, Hui Gao, Furong East China Univ Sci & Technol Key Lab Adv Control & Optimizat Chem Proc Minist Educ Shanghai 200237 Peoples R China Nanjing Univ Technol Coll Elect Engn & Control Sci Nanjing 211816 Peoples R China Hong Kong Univ Sci & Technol Dept Chem & Biomol Engn Clear Water Bay Hong Kong 999077 Peoples R China
Dynamics and nonlinearity may exist in the time and batch directions for batch processes, thereby complicating the monitoring of these processes. In this article, we propose a two-dimensional deep correlated represent... 详细信息
来源: 评论
Anomaly detection in Nuclear Power Plants via Symbolic Dynamic Filtering
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IEEE TRANSACTIONS ON NUCLEAR SCIENCE 2011年 第1期58卷 277-288页
作者: Jin, Xin Guo, Yin Sarkar, Soumik Ray, Asok Edwards, Robert M. Penn State Univ Dept Mech & Nucl Engn University Pk PA 16802 USA
Tools of sensor-data-driven anomaly detection facilitate condition monitoring of dynamical systems especially if the physics-based models are either inadequate or unavailable. Along this line, symbolic dynamic filteri... 详细信息
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A data-driven algorithm for online detection of component and system faults in modern wind turbines at different operating zones
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RENEWABLE & SUSTAINABLE ENERGY REVIEWS 2019年 103卷 546-555页
作者: Bakdi, Azzeddine Kouadri, Abdelmalek Mekhilef, Saad Univ Oslo Dept Math N-0851 Oslo Norway Univ MHamed Bougara Boumerdes Inst Elect & Elect Engn Signals & Syst Lab Boumerdes 35000 Algeria Univ Malaya Power Elect & Renewable Energy Res Lab PEARL Kuala Lumpur 50603 Malaysia King Abdulaziz Univ Ctr Res Excellence Renewable Energy & Power Syst Jeddah 21589 Saudi Arabia
Advanced fault detection (FD) and isolation schemes are necessary to realize the required levels of reliability and availability and to minimize financial losses against failures. In particular, FD is essential in mod... 详细信息
来源: 评论
Comments on the applicability of "An improved weighted recursive PCA algorithm for adaptive fault detection"
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CONTROL ENGINEERING PRACTICE 2017年 58卷 254-255页
作者: Quinones-Grueiro, Marcos Verde, Cristina Cujae Dept Automat & Comp Havana Cuba Univ Nacl Autonoma Mexico Inst Ingn Mexico City DF Mexico
This paper discusses some limitations of the weighted recursive PCA algorithm (WARP) proposed by Portnoy, Melendez, Pinzon, and Sanjuan (2016) which is used for fault detection (FD) by arguing that it can reduce false... 详细信息
来源: 评论
Process Monitoring Using Independent Component Analysis Based on Gradient and Newton Iteration Methods
Process Monitoring Using Independent Component Analysis Base...
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Chinese Automation Congress (CAC)
作者: Wei, Di Li, Xiangshun Lei, Cheng Wang, Wenlin Wuhan Univ Technol Sch Automat Wuhan Hubei Peoples R China
data-driven fault detection technique has been widely applied for process monitoring, which can effectively detect faults happened in industrial processes. It is extremely significant fir guaranteeing the normal opera... 详细信息
来源: 评论
Diagnosis of Fluid Leaks in Pipelines Using Dynamic PCA
Diagnosis of Fluid Leaks in Pipelines Using Dynamic PCA
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10th International-Federation-of-Automatic-Control (IFAC) Symposium on fault detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
作者: Santos-Ruiz, I. Lopez-Estrada, F. R. Puig, V. Perez-Perez, E. J. Mina-Antonio, J. D. Valencia-Palomo, G. TURIX Dynam Diag & Control Grp Tecnol Nacl Mexico Inst Tecnol Tuxtla Gutierrez Carr Panamer Km 1080 Tuxtla Gutierrez 29050 Chiapas Mexico UPC Dept Automat Control ESAII Rambla de St Nebridi 10 Terrassa 08222 Spain CENIDET Tecnol Nacl Mexico Interior Internado Palmira S-N Cuernavaca 62490 Morelos Mexico Inst Tecnol Hermosillo Tecnol Nacl Mexico Ave Tecnol & Periferico Poniente S-N Hermosillo 83170 Sonora Mexico
In this paper, a data-driven system based on PCA is described to detect and quantify fluid leaks in an experimental pipeline. A dynamic PCA implementation (DPCA) was used to capture the process dynamics because the sy... 详细信息
来源: 评论
Subspace method aided fault detection for distributed identical systems
Subspace method aided fault detection for distributed identi...
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Chinese Automation Congress (CAC)
作者: Ding, Xianxian Li, Qing Cui, Jiarui Univ Sci & Technol Beijing Sch Automat & Elect Engn Key Lab Knowledge Automat Ind Proc Minist Educ Beijing Peoples R China
This paper deals with data-driven subspace identification method based fault detection for homogeneous distributed system. Since there are complex connections between local subsystems of distributed identical systems,... 详细信息
来源: 评论