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Data-driven Methods for Fault Localization in Process Technology

Data-driven Methods for Fault Localization in Process Technology PDF Author: Kuehnert, Christian
Publisher: KIT Scientific Publishing
ISBN: 3731500981
Category : Mathematics
Languages : en
Pages : 228

Book Description
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 PDF Author: Kuehnert, Christian
Publisher: KIT Scientific Publishing
ISBN: 3731500981
Category : Mathematics
Languages : en
Pages : 228

Book Description
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.

Handbook of Software Fault Localization

Handbook of Software Fault Localization PDF Author: W. Eric Wong
Publisher: John Wiley & Sons
ISBN: 1119291828
Category : Computers
Languages : en
Pages : 614

Book Description
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) PDF Author: Elena Zattoni
Publisher: Springer Nature
ISBN: 3030853187
Category : Technology & Engineering
Languages : en
Pages : 1441

Book Description
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 PDF Author: Grinberg, Michael
Publisher: KIT Scientific Publishing
ISBN: 3731507811
Category : Electronic computers. Computer science
Languages : en
Pages : 296

Book Description
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 PDF Author:
Publisher: Elsevier
ISBN: 0444639705
Category : Technology & Engineering
Languages : en
Pages : 3064

Book Description
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 PDF Author: Sommer, Lars Wilko
Publisher: KIT Scientific Publishing
ISBN: 3731511134
Category : Computers
Languages : en
Pages : 276

Book Description
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 PDF Author: Birnstill, Pascal
Publisher: KIT Scientific Publishing
ISBN: 373150538X
Category : Electronic computers. Computer science
Languages : en
Pages : 268

Book Description
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 PDF Author: Bullinger, Sebastian
Publisher: KIT Scientific Publishing
ISBN: 373151012X
Category : Computers
Languages : en
Pages : 194

Book Description
"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 PDF Author: Herrmann, Christian
Publisher: KIT Scientific Publishing
ISBN: 3731507994
Category : Electronic computers. Computer science
Languages : en
Pages : 180

Book Description
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.

Self-learning Anomaly Detection in Industrial Production

Self-learning Anomaly Detection in Industrial Production PDF Author: Meshram, Ankush
Publisher: KIT Scientific Publishing
ISBN: 3731512572
Category :
Languages : en
Pages : 224

Book Description
Configuring an anomaly-based Network Intrusion Detection System for cybersecurity of an industrial system in the absence of information on networking infrastructure and programmed deterministic industrial process is challenging. Within the research work, different self-learning frameworks to analyze passively captured network traces from PROFINET-based industrial system for protocol-based and process behavior-based anomaly detection are developed, and evaluated on a real-world industrial system.