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Author : Kuehnert, Christian
Publisher : KIT Scientific Publishing
Page : 224 pages
File Size : 40,6 Mb
Release : 2013-10-24
Category : Electronic
ISBN : 9783731500988
Author : Christian Kühnert
Publisher : Unknown
Page : 220 pages
File Size : 52,5 Mb
Release : 2020-10-09
Category : Technology & Engineering
ISBN : 1013283503
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.
Author : W. Eric Wong,T.H. Tse
Publisher : John Wiley & Sons
Page : 614 pages
File Size : 44,9 Mb
Release : 2023-04-21
Category : Computers
ISBN : 9781119291824
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.
Author : Evan L. Russell,Leo H. Chiang,Richard D. Braatz
Publisher : Springer
Page : 192 pages
File Size : 54,6 Mb
Release : 2011-11-09
Category : Science
ISBN : 1447104102
Early and accurate fault detection and diagnosis for modern chemical plants can minimise downtime, increase the safety of plant operations, and reduce manufacturing costs. The process-monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of the book is to present the theoretical background and practical techniques for data-driven process monitoring. Process-monitoring techniques presented include: Principal component analysis; Fisher discriminant analysis; Partial least squares; Canonical variate analysis. The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator - demonstrating the strengths and weaknesses of each approach in detail. This aids the reader in selecting the right method for his process application. Plant simulator and homework problems in which students apply the process-monitoring techniques to a nontrivial simulated process, and can compare their performance with that obtained in the case studies in the text are included. A number of additional homework problems encourage the reader to implement and obtain a deeper understanding of the techniques. The reader will obtain a background in data-driven techniques for fault detection and diagnosis, including the ability to implement the techniques and to know how to select the right technique for a particular application.
Author : Jing Wang,Jinglin Zhou,Xiaolu Chen
Publisher : Springer
Page : 264 pages
File Size : 49,8 Mb
Release : 2022-01-04
Category : Technology & Engineering
ISBN : 9811680434
This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications. This is an open access book.
Author : Elena Zattoni,Silvio Simani,Giuseppe Conte
Publisher : Springer Nature
Page : 1441 pages
File Size : 40,9 Mb
Release : 2022-06-13
Category : Technology & Engineering
ISBN : 9783030853181
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.
Author : Grinberg, Michael
Publisher : KIT Scientific Publishing
Page : 296 pages
File Size : 49,8 Mb
Release : 2018-08-10
Category : Electronic
ISBN : 9783731507819
Author : Anonim
Publisher : Elsevier
Page : 3064 pages
File Size : 46,8 Mb
Release : 2017-09-21
Category : Science
ISBN : 9780444639707
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
Author : Sommer, Lars Wilko
Publisher : KIT Scientific Publishing
Page : 276 pages
File Size : 44,5 Mb
Release : 2022-02-09
Category : Computers
ISBN : 9783731511137
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.
Author : Birnstill, Pascal
Publisher : KIT Scientific Publishing
Page : 270 pages
File Size : 54,5 Mb
Release : 2016-08-24
Category : Electronic
ISBN : 9783731505389
Author : Bullinger, Sebastian
Publisher : KIT Scientific Publishing
Page : 194 pages
File Size : 51,9 Mb
Release : 2020-08-26
Category : Computers
ISBN : 9783731510123
"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.
Author : Herrmann, Christian
Publisher : KIT Scientific Publishing
Page : 180 pages
File Size : 55,5 Mb
Release : 2018-08-03
Category : Electronic computers. Computer science
ISBN : 9783731507994
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.
Author : Meshram, Ankush
Publisher : KIT Scientific Publishing
Page : 224 pages
File Size : 51,6 Mb
Release : 2023-06-19
Category : Electronic
ISBN : 9783731512578
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.
Author : Janya-anurak, Chettapong
Publisher : KIT Scientific Publishing
Page : 248 pages
File Size : 51,6 Mb
Release : 2017-04-04
Category : Electronic
ISBN : 9783731506423
Author : Beyerer, Jürgen,Zander, Tim
Publisher : KIT Scientific Publishing
Page : 192 pages
File Size : 53,5 Mb
Release : 2021-06-22
Category : Computers
ISBN : 9783731510918
In 2020 fand der jährliche Workshop des Faunhofer IOSB und the Lehrstuhls für interaktive Echtzeitsysteme statt. Vom 27. bis zum 31. Juli trugen die Doktorranden der beiden Institute über den Stand ihrer Forschung vor in Themen wie KI, maschinellen Lernen, computer vision, usage control, Metrologie vor. Die Ergebnisse dieser Vorträge sind in diesem Band als technische Berichte gesammelt. - In 2020, the annual joint workshop of the Fraunhofer IOSB and the Vision and Fusion Laboratory of the KIT was hosted at the IOSB in Karlsruhe. For a week from the 27th to the 31st July the doctoral students of both institutions presented extensive reports on the status of their research and discussed topics ranging from computer vision and optical metrology to network security, usage control and machine learning. The results and ideas presented at the workshop are collected in this book.