Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance
The objective of this Special Issue is to highlight applications of legacy and next-generation sensors along with advanced analytic techniques for machinery monitoring. The Issue presents novel sensor concepts, designs, and applications that support advanced decision-making approaches by incorporati...
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| 格式: | Online |
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| 語言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| 主題: | |
| 在線閱讀: | ONIX_20260416T142754_9783725854615_7 |
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| _version_ | 1869517632001015808 |
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| collection | Directory of Open Access Books |
| description | The objective of this Special Issue is to highlight applications of legacy and next-generation sensors along with advanced analytic techniques for machinery monitoring. The Issue presents novel sensor concepts, designs, and applications that support advanced decision-making approaches by incorporating sensors, real-time decision-making methods, and operational policies. Industrial sensors play a critical role in the advancement of smart manufacturing with growing demand for integrated smart systems in which most sensors, designs, and operations are digitalized to enhance reliability, efficiency, and data-driven insights. This Special Issue addresses current limitations and key advancements in sensors for machinery condition monitoring, diagnostics, prognostics, and maintenance, while also considering legacy operations and emerging system types. |
| format | Online |
| id | doab-20.500.12854ir-175002 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1750022026-04-16T18:15:23Z Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance Terpenny, Janis Kurfess, Thomas Prabhu, Vittal Wu, Dazhong Diagnostics Machinery monitoring Prognostics Preventative maintenance Predictive maintenance Condition-based maintenance Fault diagnosis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The objective of this Special Issue is to highlight applications of legacy and next-generation sensors along with advanced analytic techniques for machinery monitoring. The Issue presents novel sensor concepts, designs, and applications that support advanced decision-making approaches by incorporating sensors, real-time decision-making methods, and operational policies. Industrial sensors play a critical role in the advancement of smart manufacturing with growing demand for integrated smart systems in which most sensors, designs, and operations are digitalized to enhance reliability, efficiency, and data-driven insights. This Special Issue addresses current limitations and key advancements in sensors for machinery condition monitoring, diagnostics, prognostics, and maintenance, while also considering legacy operations and emerging system types. 2026-04-16T18:15:15Z 2026-04-16T18:15:15Z 2025 book ONIX_20260416T142754_9783725854615_7 9783725854615 9783725854622 https://directory.doabooks.org/handle/20.500.12854/175002 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11902 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5462-2 10.3390/books978-3-7258-5462-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725854615 9783725854622 264 CH open access |
| spellingShingle | Diagnostics Machinery monitoring Prognostics Preventative maintenance Predictive maintenance Condition-based maintenance Fault diagnosis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance |
| title | Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance |
| title_full | Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance |
| title_fullStr | Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance |
| title_full_unstemmed | Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance |
| title_short | Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance |
| title_sort | sensors for machine condition monitoring diagnostics prognostics and maintenance |
| topic | Diagnostics Machinery monitoring Prognostics Preventative maintenance Predictive maintenance Condition-based maintenance Fault diagnosis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | Diagnostics Machinery monitoring Prognostics Preventative maintenance Predictive maintenance Condition-based maintenance Fault diagnosis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20260416T142754_9783725854615_7 |