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Troubleshooting

About: Troubleshooting is a research topic. Over the lifetime, 4578 publications have been published within this topic receiving 50898 citations.


Papers
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Book
01 Jan 2002
TL;DR: In this article, the authors present essential flow diagrams for understanding processes, including the structure of Chemical Process Flow Diagrams, and tools for evaluating system performance and performance curves for individual unit operations.
Abstract: 1 Essential Flow Diagrams for Understanding Processes I ENGINEERING ECONOMIC ANALYSIS OF CHEMICAL PROCESSES 2 Estimation of Capital Costs 3 Estimation of Manufacturing Costs 4 Engineering Economic Analysis 5 Profitability Analysis II TECHNICAL ANALYSIS OF A CHEMICAL PROCESS 6 Structure of Chemical Process Flow Diagrams 7 Tracing Chemicals Through the Process Flow Diagram 8 Understanding Process Conditions 9 Utilizing Experience-Based Principles to Confirm the Suitability of a Process Design III ANALYSIS OF SYSTEM PERFORMANCE 10 Process Input/Output Models 11 Tools for Evaluating System Performance 12 Performance Curves for Individual Unit Operations 13 Performance of Multiple Unit Operations 14 Reactor Performance 15 Regulating Process Conditions 16 Process Troubleshooting and Debottlenecking IV SYNTHESIS AND OPTIMIZATION OF A PROCESS FLOW DIAGRAM 17 Synthesis of the PFD from the Generic BFD 18 Synthesis of a Process Using a Simulator and Simulator Troubleshooting 19 Process Optimization V THE PROFESSIONAL ENGINEER, THE ENVIRONMENT, AND COMMUNICATIONS 20 Ethics and Professionalism 21 Health, Safety, and the Environment 22 Written and Oral Communications 23 A Report Writing Case Study APPENDICES Appendix A Cost Equations and Curves for the CAPCOSTA(c) Program Appendix B Information for the Preliminary Design of Four Chemical Processes Appendix C Design Projects Index

1,883 citations

Proceedings ArticleDOI
07 Aug 2001
TL;DR: This work presents an information services architecture that addresses performance, security, scalability, and robustness requirements of Grid software infrastructure and has been implemented as MDS-2, which forms part of the Globus Grid toolkit and has be widely deployed and applied.
Abstract: Grid technologies enable large-scale sharing of resources within formal or informal consortia of individuals and/or institutions: what are sometimes called virtual organizations. In these settings, the discovery, characterization, and monitoring of resources, services, and computations are challenging problems due to the considerable diversity; large numbers, dynamic behavior, and geographical distribution of the entities in which a user might be interested. Consequently, information services are a vital part of any Grid software infrastructure, providing fundamental mechanisms for discovery and monitoring, and hence for planning and adapting application behavior. We present an information services architecture that addresses performance, security, scalability, and robustness requirements. Our architecture defines simple low-level enquiry and registration protocols that make it easy to incorporate individual entities into various information structures, such as aggregate directories that support a variety of different query languages and discovery strategies. These protocols can also be combined with other Grid protocols to construct additional higher-level services and capabilities such as brokering, monitoring, fault detection, and troubleshooting. Our architecture has been implemented as MDS-2, which forms part of the Globus Grid toolkit and has been widely deployed and applied.

1,707 citations

Book
01 Jan 1999
TL;DR: This updated edition of Software Requirements, Second Edition features new case examples, anecdotes culled from the author's extensive consulting career, and specific Next Steps for putting the book's process-improvement principles into practice.
Abstract: From the Publisher: Without formal, verifiable software requirements -- and an effective system for managing them -- the programs that developers think they've agreed to build often will not be the same products their customers are expecting. In Software Requirements, Second Edition, requirements engineering authority Karl Wiegers amplifies the best practices presented in his original award-winning text -- now a mainstay for anyone participating in the software development process. In this book, you'll discover effective techniques for managing the requirements engineering process all the way through the development cycle -- including dozens of techniques to facilitate that all-important communication between users, developers, and management. This updated edition features new case examples, anecdotes culled from the author's extensive consulting career, and specific Next Steps for putting the book's process-improvement principles into practice. You'll also find several new chapters, sample documents, and an incisive troubleshooting guide.

1,006 citations

Journal ArticleDOI
TL;DR: In this paper, the authors describe a system that reasons from first principles, i.e., using knowledge of structure and behavior, to deal with situations that are novel in the sense that their outward manifestations may not have been encountered previously.

959 citations

Book
29 Nov 2012
TL;DR: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks.
Abstract: Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his/her level of understanding The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined on the basis of numerous courses that the authors have held for practitioners worldwide

522 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20242
2023268
2022720
2021158
2020252
2019287