Fault Detection, Diagnosis and Prognosis

Edited by Fausto Pedro Garcia Marquez

in Books from IntechOpen

Abstract: This book presents the main concepts, state of the art, advances, and case studies of fault detection, diagnosis, and prognosis. This topic is a critical variable in industry to reach and maintain competitiveness. Therefore, proper management of the corrective, predictive, and preventive politics in any industry is required. This book complements other subdisciplines such as economics, finance, marketing, decision and risk analysis, engineering, etc. The book presents real case studies in multiple disciplines. It considers the main topics using prognostic and subdiscipline techniques. It is essential to link these topics with the areas of finance, scheduling, resources, downtime, etc. to increase productivity, profitability, maintainability, reliability, safety, and availability, and reduce costs and downtime. Advances in mathematics, modeling, computational techniques, dynamic analysis, etc. are employed analytically. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support the analysis of prognostic problems with defined constraints and requirements. The book is intended for graduate students and professionals in industrial engineering, business administration, industrial organization, operations management, applied microeconomics, and the decisions sciences, either studying maintenance or needing to solve large, specific, and complex maintenance management problems as part of their jobs. The work will also be of interest to researches from academia.

JEL-codes: C60 (search for similar items in EconPapers)
Date: 2020
ISBN: 978-1-78984-213-5
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.intechopen.com/books/6094 (text/html)
Book downloadable chapter-by-chapter

Chapters in this book:

An Approach to Optimize the Management of Information Security in Public Organizations of Ecuador

Moises Toapanta and Luis Enrique Mafla Gallegos

Analytic Prognostic in the Linear Damage Case Applied to Buried Petrochemical Pipelines and the Complex Probability Paradigm

Abdo Abou Jaoude

Fault Detection of Single and Interval Valued Data Using Statistical Process Monitoring Techniques

M. Ziyan Sheriff, Nour Basha, M. Nazmul Karim, Hazem Numan Nounou and Mohamed N. Nounou

Fault Diagnosis Techniques for a Wind Turbine System

Silvio Simani and Paolo Castaldi

Introductory Chapter: Prognostics - An Overview

Fausto Pedro Garcia Marquez

Predicting Sets of Automata: Architecture, Evolution, Examples of Prognosis, and Applications

Sergey Kirillov, Aleksandr Kirillov, Vitalii Yakimkin, Michael Pecht and Yuri Kaganovich

Prognostics 102: Efficient Bayesian-Based Prognostics Algorithm in MATLAB

Ting Dong, Dawn An and Nam-Ho Kim

Real-Time Fault Detection and Diagnosis Using Intelligent Monitoring and Supervision Systems

Gustavo Perez Alvarez

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:6094

DOI: 10.5772/intechopen.77564

Access Statistics for this book

More books in Books from IntechOpen
Bibliographic data for series maintained by Slobodan Momcilovic ().