Algorithms for Fault Detection and Diagnosis
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 involv...
Saved in:
HerausgeberIn: | |
---|---|
Sonstige: | |
Year of Publication: | 2021 |
Language: | English |
Physical Description: | 1 electronic resource (130 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993546134204498 |
---|---|
ctrlnum |
(CKB)5400000000045110 (oapen)https://directory.doabooks.org/handle/20.500.12854/68494 (EXLCZ)995400000000045110 |
collection |
bib_alma |
record_format |
marc |
spelling |
Ferracuti, Francesco edt Algorithms for Fault Detection and Diagnosis Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 1 electronic resource (130 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Open access Unrestricted online access star 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. English History of engineering & technology bicssc structural health monitoring digital image processing damage gray level co-occurrence matrix self-organization map rolling bearings fault diagnosis multiscale entropy amplitude-aware permutation entropy random forest reusable launch vehicle thruster valve failure thruster fault detection Kalman filter machine vision machine diagnostics instantaneous angular speed SURVISHNO 2019 challenge video tachometer motion tracking edge detection parametric template modeling adaptive template matching genetic algorithm misalignment fault prediction combined prediction multivariate grey model quantum genetic algorithm least squares support vector machine lithium-ion battery battery faults battery safety battery management system fault diagnostic algorithms 3-0365-0462-1 3-0365-0463-X Freddi, Alessandro edt Monteriù, Andrea edt Ferracuti, Francesco oth Freddi, Alessandro oth Monteriù, Andrea oth |
language |
English |
format |
eBook |
author2 |
Freddi, Alessandro Monteriù, Andrea Ferracuti, Francesco Freddi, Alessandro Monteriù, Andrea |
author_facet |
Freddi, Alessandro Monteriù, Andrea Ferracuti, Francesco Freddi, Alessandro Monteriù, Andrea |
author2_variant |
f f ff a f af a m am |
author2_role |
HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
title |
Algorithms for Fault Detection and Diagnosis |
spellingShingle |
Algorithms for Fault Detection and Diagnosis |
title_full |
Algorithms for Fault Detection and Diagnosis |
title_fullStr |
Algorithms for Fault Detection and Diagnosis |
title_full_unstemmed |
Algorithms for Fault Detection and Diagnosis |
title_auth |
Algorithms for Fault Detection and Diagnosis |
title_new |
Algorithms for Fault Detection and Diagnosis |
title_sort |
algorithms for fault detection and diagnosis |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
physical |
1 electronic resource (130 p.) |
isbn |
3-0365-0462-1 3-0365-0463-X |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT ferracutifrancesco algorithmsforfaultdetectionanddiagnosis AT freddialessandro algorithmsforfaultdetectionanddiagnosis AT monteriuandrea algorithmsforfaultdetectionanddiagnosis |
status_str |
n |
ids_txt_mv |
(CKB)5400000000045110 (oapen)https://directory.doabooks.org/handle/20.500.12854/68494 (EXLCZ)995400000000045110 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Algorithms for Fault Detection and Diagnosis |
author2_original_writing_str_mv |
noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField |
_version_ |
1787548505769771008 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03486nam-a2200769z--4500</leader><controlfield tag="001">993546134204498</controlfield><controlfield tag="005">20231214133347.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202105s2021 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5400000000045110</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/68494</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000045110</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ferracuti, Francesco</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Algorithms for Fault Detection and Diagnosis</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel, Switzerland</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (130 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Open access</subfield><subfield code="f">Unrestricted online access</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">History of engineering & technology</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">structural health monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">digital image processing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">damage</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gray level co-occurrence matrix</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">self-organization map</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rolling bearings</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fault diagnosis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">multiscale entropy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">amplitude-aware permutation entropy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">random forest</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">reusable launch vehicle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thruster valve failure</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thruster fault detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Kalman filter</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine vision</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine diagnostics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">instantaneous angular speed</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SURVISHNO 2019 challenge</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">video tachometer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">motion tracking</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">edge detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">parametric template modeling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">adaptive template matching</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">genetic algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">misalignment</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fault prediction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">combined prediction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">multivariate grey model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quantum genetic algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">least squares support vector machine</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lithium-ion battery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery faults</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery safety</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery management system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fault diagnostic algorithms</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-0462-1</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-0463-X</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Freddi, Alessandro</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Monteriù, Andrea</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ferracuti, Francesco</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Freddi, Alessandro</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Monteriù, Andrea</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:51:25 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-04-04 09:22:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338182840004498&Force_direct=true</subfield><subfield code="Z">5338182840004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338182840004498</subfield></datafield></record></collection> |