Digital Filters for Maintenance Management
Faults in mechanisms must be detected quickly and reliably in order to avoid important losses. Detection systems should be developed to minimize maintenance costs and are generally based on consistent models, but as simple as possible. Also, the models for detecting faults must adapt to external and...
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| Main Authors: | , |
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| Format: | Electronic Book Chapter |
| Language: | English |
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IntechOpen
2011
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| Online Access: | https://www.intechopen.com/chapters/15182 |
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| _version_ | 1839561724601040896 |
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| author | Márquez, Fausto Pedro García Tercero, Diego José Pedregal |
| author_facet | Márquez, Fausto Pedro García Tercero, Diego José Pedregal |
| author_sort | Márquez, Fausto Pedro García |
| collection | InTech Open eBooks |
| description | Faults in mechanisms must be detected quickly and reliably in order to avoid important losses. Detection systems should be developed to minimize maintenance costs and are generally based on consistent models, but as simple as possible. Also, the models for detecting faults must adapt to external and internal conditions to the mechanism. The present chapter deals with three particular maintenance algorithms for turnouts in railway infrastructure by means of discrete filters that comply with these general objectives. All of them have the virtue of being developed within a well-known and common framework, namely the State Space with the help of the Kalman Filter (KF) and/or complementary Fixed Interval Smoother (FIS) algorithms. The algorithms are tested on real applications and thorough results are shown. |
| doi_str_mv | 10.5772/15999 |
| first_indexed | 2025-08-04T21:26:10Z |
| format | Electronic Book Chapter |
| fullrecord | <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>InTech-15182</identifier><datestamp>2011-04-11</datestamp>
<dc:title>Digital Filters for Maintenance Management</dc:title>
<dc:creator>Fausto Pedro García Márquez</dc:creator>
<dc:creator>Diego José Pedregal Tercero</dc:creator>
<dc:subject>Physical Sciences, Engineering and Technology</dc:subject>
<dc:description>Faults in mechanisms must be detected quickly and reliably in order to avoid important losses. Detection systems should be developed to minimize maintenance costs and are generally based on consistent models, but as simple as possible. Also, the models for detecting faults must adapt to external and internal conditions to the mechanism. The present chapter deals with three particular maintenance algorithms for turnouts in railway infrastructure by means of discrete filters that comply with these general objectives. All of them have the virtue of being developed within a well-known and common framework, namely the State Space with the help of the Kalman Filter (KF) and/or complementary Fixed Interval Smoother (FIS) algorithms. The algorithms are tested on real applications and thorough results are shown.</dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2011-04-11</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
<dc:identifier>https://www.intechopen.com/chapters/15182</dc:identifier>
<dc:identifier>doi:10.5772/15999</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>ISBN:978-953-307-190-9</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by-nc-sa/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/120 ; Digital Filters</dc:source>
</oai_dc:dc> |
| id | InTech-15182 |
| institution | Matheson Library |
| isbn | 978-953-307-190-9 |
| language | English |
| last_indexed | 2025-08-04T21:26:10Z |
| publishDate | 2011 |
| publisher | IntechOpen |
| record_format | intech |
| spelling | InTech-151822011-04-11 Digital Filters for Maintenance Management Fausto Pedro García Márquez Diego José Pedregal Tercero Physical Sciences, Engineering and Technology Faults in mechanisms must be detected quickly and reliably in order to avoid important losses. Detection systems should be developed to minimize maintenance costs and are generally based on consistent models, but as simple as possible. Also, the models for detecting faults must adapt to external and internal conditions to the mechanism. The present chapter deals with three particular maintenance algorithms for turnouts in railway infrastructure by means of discrete filters that comply with these general objectives. All of them have the virtue of being developed within a well-known and common framework, namely the State Space with the help of the Kalman Filter (KF) and/or complementary Fixed Interval Smoother (FIS) algorithms. The algorithms are tested on real applications and thorough results are shown. IntechOpen 2011-04-11 Chapter, Part Of Book https://www.intechopen.com/chapters/15182 doi:10.5772/15999 en ISBN:978-953-307-190-9 https://creativecommons.org/licenses/by-nc-sa/3.0/ https://www.intechopen.com/books/120 ; Digital Filters |
| spellingShingle | Physical Sciences, Engineering and Technology Márquez, Fausto Pedro García Tercero, Diego José Pedregal Digital Filters for Maintenance Management |
| title | Digital Filters for Maintenance Management |
| title_full | Digital Filters for Maintenance Management |
| title_fullStr | Digital Filters for Maintenance Management |
| title_full_unstemmed | Digital Filters for Maintenance Management |
| title_short | Digital Filters for Maintenance Management |
| title_sort | digital filters for maintenance management |
| topic | Physical Sciences, Engineering and Technology |
| url | https://www.intechopen.com/chapters/15182 |
| work_keys_str_mv | AT marquezfaustopedrogarcia digitalfiltersformaintenancemanagement AT tercerodiegojosepedregal digitalfiltersformaintenancemanagement |