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Data Driven Methods For Fault Localization In Process Technology


Data Driven Methods For Fault Localization In Process Technology
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Data Driven Methods For Fault Localization In Process Technology


Data Driven Methods For Fault Localization In Process Technology
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Author : Kuehnert, Christian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2013-10-24

Data Driven Methods For Fault Localization In Process Technology written by Kuehnert, Christian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-24 with Mathematics categories.


Control systems at production plants consist of a large number of process variables. When detecting abnormal behavior, these variables generate an alarm. Due to the interconnection of the plant's devices the fault can lead to an alarm flood. This again hides the original location of the causing device. In this work several data-driven approaches for root cause localization are proposed, compared and combined. All methods analyze disturbed process data for backtracking the propagation path.



Data Driven Methods For Fault Localization In Process Technology


Data Driven Methods For Fault Localization In Process Technology
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Author : Christian Kühnert
language : en
Publisher:
Release Date : 2020-10-09

Data Driven Methods For Fault Localization In Process Technology written by Christian Kühnert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-09 with Technology & Engineering categories.


Control systems at production plants consist of a large number of process variables. When detecting abnormal behavior, these variables generate an alarm. Due to the interconnection of the plant's devices the fault can lead to an alarm flood. This again hides the original location of the causing device. In this work several data-driven approaches for root cause localization are proposed, compared and combined. All methods analyze disturbed process data for backtracking the propagation path. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.



Handbook Of Software Fault Localization


Handbook Of Software Fault Localization
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Author : W. Eric Wong
language : en
Publisher: John Wiley & Sons
Release Date : 2023-04-21

Handbook Of Software Fault Localization written by W. Eric Wong and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-21 with Computers categories.


Handbook of Software Fault Localization A comprehensive analysis of fault localization techniques and strategies In Handbook of Software Fault Localization: Foundations and Advances, distinguished computer scientists Prof. W. Eric Wong and Prof. T.H. Tse deliver a robust treatment of up-to-date techniques, tools, and essential issues in software fault localization. The authors offer collective discussions of fault localization strategies with an emphasis on the most important features of each approach. The book also explores critical aspects of software fault localization, like multiple bugs, successful and failed test cases, coincidental correctness, faults introduced by missing code, the combination of several fault localization techniques, ties within fault localization rankings, concurrency bugs, spreadsheet fault localization, and theoretical studies on fault localization. Readers will benefit from the authors’ straightforward discussions of how to apply cost-effective techniques to a variety of specific environments common in the real world. They will also enjoy the in-depth explorations of recent research directions on this topic. Handbook of Software Fault Localization also includes: A thorough introduction to the concepts of software testing and debugging, their importance, typical challenges, and the consequences of poor efforts Comprehensive explorations of traditional fault localization techniques, including program logging, assertions, and breakpoints Practical discussions of slicing-based, program spectrum-based, and statistics-based techniques In-depth examinations of machine learning-, data mining-, and model-based techniques for software fault localization Perfect for researchers, professors, and students studying and working in the field, Handbook of Software Fault Localization: Foundations and Advances is also an indispensable resource for software engineers, managers, and software project decision makers responsible for schedule and budget control.



15th European Workshop On Advanced Control And Diagnosis Acd 2019


15th European Workshop On Advanced Control And Diagnosis Acd 2019
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Author : Elena Zattoni
language : en
Publisher: Springer Nature
Release Date : 2022-06-13

15th European Workshop On Advanced Control And Diagnosis Acd 2019 written by Elena Zattoni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-13 with Technology & Engineering categories.


This book, published in two volumes, embodies the proceedings of the 15th European Workshop on Advanced Control and Diagnosis (ACD 2019) held in Bologna, Italy, in November 2019. It features contributed and invited papers from academics and professionals specializing in an important aspect of control and automation. The book discusses current theoretical research developments and open problems and illustrates practical applications and industrial priorities. With a focus on both theory and applications, it spans a wide variety of up-to-date topics in the field of systems and control, including robust control, adaptive control, fault-tolerant control, control reconfiguration, and model-based diagnosis of linear, nonlinear and hybrid systems. As the subject coverage has expanded to include cyber-physical production systems, industrial internet of things and sustainability issues, some contributions are of an interdisciplinary nature, involving ICT disciplines and environmental sciences. This book is a valuable reference for both academics and professionals in the area of systems and control, with a focus on advanced control, automation, fault diagnosis and condition monitoring.



Feature Based Probabilistic Data Association For Video Based Multi Object Tracking


Feature Based Probabilistic Data Association For Video Based Multi Object Tracking
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Author : Grinberg, Michael
language : en
Publisher: KIT Scientific Publishing
Release Date : 2018-08-10

Feature Based Probabilistic Data Association For Video Based Multi Object Tracking written by Grinberg, Michael and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-10 with Electronic computers. Computer science categories.


This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.



27th European Symposium On Computer Aided Process Engineering


27th European Symposium On Computer Aided Process Engineering
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Author :
language : en
Publisher: Elsevier
Release Date : 2017-09-21

27th European Symposium On Computer Aided Process Engineering written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-21 with Technology & Engineering categories.


27th European Symposium on Computer Aided Process Engineering, Volume 40 contains the papers presented at the 27th European Society of Computer-Aided Process Engineering (ESCAPE) event held in Barcelona, October 1-5, 2017. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students, and consultants for chemical industries. - Presents findings and discussions from the 27th European Society of Computer-Aided Process Engineering (ESCAPE) event



Deep Learning Based Vehicle Detection In Aerial Imagery


Deep Learning Based Vehicle Detection In Aerial Imagery
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Author : Sommer, Lars Wilko
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-02-09

Deep Learning Based Vehicle Detection In Aerial Imagery written by Sommer, Lars Wilko and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-09 with Computers categories.


This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the contextual and semantical content of the employed feature representation. To reduce the inference time, a lightweight CNN architecture is proposed as base architecture and a novel module that restricts the search area is introduced.



Privacy Respecting Smart Video Surveillance Based On Usage Control Enforcement


Privacy Respecting Smart Video Surveillance Based On Usage Control Enforcement
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Author : Birnstill, Pascal
language : en
Publisher: KIT Scientific Publishing
Release Date : 2016-08-24

Privacy Respecting Smart Video Surveillance Based On Usage Control Enforcement written by Birnstill, Pascal and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-24 with Electronic computers. Computer science categories.


This research introduces a conceptual framework for enforcing privacy-related restrictions in smart video surveillance systems based on danger levels and incident types to be handled. It increases the selectivity of surveillance by restricting data processing to individuals associated to incidents under investigation. Constraints are enforced by usage control, which is instantiated for video surveillance for the first time and enables tailoring such systems to comply with data protection law.



Image Based 3d Reconstruction Of Dynamic Objects Using Instance Aware Multibody Structure From Motion


Image Based 3d Reconstruction Of Dynamic Objects Using Instance Aware Multibody Structure From Motion
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Author : Bullinger, Sebastian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2020-08-26

Image Based 3d Reconstruction Of Dynamic Objects Using Instance Aware Multibody Structure From Motion written by Bullinger, Sebastian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-26 with Computers categories.


"This work proposes a Multibody Structure from Motion (MSfM) algorithm for moving object reconstruction that incorporates instance-aware semantic segmentation and multiple view geometry methods. The MSfM pipeline tracks two-dimensional object shapes on pixel level to determine object specific feature correspondences, in order to reconstruct 3D object shapes as well as 3D object motion trajectories" -- Publicaciones de Arquitectura y Arte.



Video To Video Face Recognition For Low Quality Surveillance Data


Video To Video Face Recognition For Low Quality Surveillance Data
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Author : Herrmann, Christian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2018-08-03

Video To Video Face Recognition For Low Quality Surveillance Data written by Herrmann, Christian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-03 with Electronic computers. Computer science categories.


The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated search for persons in the data. This work targets efficient representations of low-quality face sequences to enable fast and accurate face search. Novel concepts for multi-scale analysis, dataset augmentation, CNN loss function, and sequence description lead to improvements over state-of-the-art methods on surveillance video footage.