Electronic Resource

Algorithms for Fault Detection and Diagnosis

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Due to the increasing demand for security and reliability in manufacturing and mechatronic systems, early detection and diagnosis of faults are key points to reduce economic losses caused by unscheduled maintenance and downtimes, to increase safety, to prevent the endangerment of human beings involved in the process operations and to improve reliability and availability of autonomous systems. The development of algorithms for health monitoring and fault and anomaly detection, capable of the early detection, isolation, or even prediction of technical component malfunctioning, is becoming more and more crucial in this context. This Special Issue is devoted to new research efforts and results concerning recent advances and challenges in the application of "Algorithms for Fault Detection and Diagnosis", articulated over a wide range of sectors. The aim is to provide a collection of some of the current state-of-the-art algorithms within this context, together with new advanced theoretical solutions.

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Availability

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Detail Information

Series Title

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Call Number

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Publisher

Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute., 2021

Collation

130 hlm; ill., lamp.,

Language

English

ISBN/ISSN

9783036504636

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

History of engineering and technology

Specific Detail Info

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Statement of Responsibility

Ferracuti, Francesco (editor) Freddi, Alessandro (editor) Monteriù, Andrea (editor)

Other Information

Cataloger

ida

Source

https://directory.doabooks.org/handle/20.500.12854/68494

Validator

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Digital Object Identifier (DOI)

10.3390/books978-3-0365-0463-6

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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