Artificial Intelligence in Fault Diagnosis and Signal Processing
The aim of this reprint is to immerse the reader in the latest technological approaches employed in the detection and diagnosis of faults in industrial processes. As the early detection of faults avoids damage that may be irreparable to machinery, reducing the performance of the control system and r...
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| Format: | Online |
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| Sprache: | Englisch |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Online-Zugang: | ONIX_20250812T110751_9783725843978_467 |
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| _version_ | 1869517543713013760 |
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| collection | Directory of Open Access Books |
| description | The aim of this reprint is to immerse the reader in the latest technological approaches employed in the detection and diagnosis of faults in industrial processes. As the early detection of faults avoids damage that may be irreparable to machinery, reducing the performance of the control system and reducing the process efficiency, which would result in a decrease in production, new approaches to the detection and diagnosis of faults have become a compulsory task in any Industry 4.0 implementation. To develop such a new generation of fault detection systems, the use of artificial intelligence techniques and advanced solutions in signal processing have also become the most suitable approach. The result of this issue is a collection of 15 works highlighting the latest advances in this topic, bringing researchers and industrial practitioners together to share their findings and present ideas that are relevant in the field of fault diagnosis using artificial intelligence and signal processing. |
| format | Online |
| id | doab-20.500.12854ir-165712 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1657122025-08-12T10:09:22Z Artificial Intelligence in Fault Diagnosis and Signal Processing Osornio-Rios, Roque Alfredo Karlis, Athanasios Iglesias, Andres Bustillo machine learning signal processing fault detection industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The aim of this reprint is to immerse the reader in the latest technological approaches employed in the detection and diagnosis of faults in industrial processes. As the early detection of faults avoids damage that may be irreparable to machinery, reducing the performance of the control system and reducing the process efficiency, which would result in a decrease in production, new approaches to the detection and diagnosis of faults have become a compulsory task in any Industry 4.0 implementation. To develop such a new generation of fault detection systems, the use of artificial intelligence techniques and advanced solutions in signal processing have also become the most suitable approach. The result of this issue is a collection of 15 works highlighting the latest advances in this topic, bringing researchers and industrial practitioners together to share their findings and present ideas that are relevant in the field of fault diagnosis using artificial intelligence and signal processing. 2025-08-12T10:09:20Z 2025-08-12T10:09:20Z 2025 book ONIX_20250812T110751_9783725843978_467 9783725843978 9783725843985 https://directory.doabooks.org/handle/20.500.12854/165712 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/11102 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4398-5 10.3390/books978-3-7258-4398-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725843978 9783725843985 290 open access |
| spellingShingle | machine learning signal processing fault detection industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Artificial Intelligence in Fault Diagnosis and Signal Processing |
| title | Artificial Intelligence in Fault Diagnosis and Signal Processing |
| title_full | Artificial Intelligence in Fault Diagnosis and Signal Processing |
| title_fullStr | Artificial Intelligence in Fault Diagnosis and Signal Processing |
| title_full_unstemmed | Artificial Intelligence in Fault Diagnosis and Signal Processing |
| title_short | Artificial Intelligence in Fault Diagnosis and Signal Processing |
| title_sort | artificial intelligence in fault diagnosis and signal processing |
| topic | machine learning signal processing fault detection industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | machine learning signal processing fault detection industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20250812T110751_9783725843978_467 |