Fault Detection, Diagnosis and Prognosis
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...
I tiakina i:
| Hōputu: | Online |
|---|---|
| Reo: | Ingarihi |
| I whakaputaina: |
IntechOpen
2021
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| Ngā marau: | |
| Urunga tuihono: | ONIX_20210420_9781789842142_2622 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869530215115390976 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-67263 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-672632024-04-04T14:41:20Z Fault Detection, Diagnosis and Prognosis Pedro García Márquez, Fausto Mathematical modelling thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics 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. 2021-04-20T16:08:23Z 2021-04-20T16:08:23Z 2020 book ONIX_20210420_9781789842142_2622 9781789842142 9781789842135 9781789856613 https://directory.doabooks.org/handle/20.500.12854/67263 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/7751/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.77564 10.5772/intechopen.77564 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789842142 9781789842135 9781789856613 IntechOpen 176 open access |
| spellingShingle | Mathematical modelling thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics Fault Detection, Diagnosis and Prognosis |
| title | Fault Detection, Diagnosis and Prognosis |
| title_full | Fault Detection, Diagnosis and Prognosis |
| title_fullStr | Fault Detection, Diagnosis and Prognosis |
| title_full_unstemmed | Fault Detection, Diagnosis and Prognosis |
| title_short | Fault Detection, Diagnosis and Prognosis |
| title_sort | fault detection diagnosis and prognosis |
| topic | Mathematical modelling thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| topic_facet | Mathematical modelling thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| url | ONIX_20210420_9781789842142_2622 |