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https://scholarbank.nus.edu.sg/handle/10635/134678
DC Field | Value | |
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dc.title | CONDITION MONITORING BASED ON A WIRELESS, DISTRIBUTED AND SCALABLE PLATFORM | |
dc.contributor.author | ER POI VOON | |
dc.date.accessioned | 2017-01-31T18:00:34Z | |
dc.date.available | 2017-01-31T18:00:34Z | |
dc.date.issued | 2016-08-26 | |
dc.identifier.citation | ER POI VOON (2016-08-26). CONDITION MONITORING BASED ON A WIRELESS, DISTRIBUTED AND SCALABLE PLATFORM. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/134678 | |
dc.description.abstract | This thesis focuses on the development of technologies for condition monitoring (CM) targeted for industrial, and healthcare, all pulled by real and significant industrial and healthcare needs. Three collaborations with industrial partners and healthcare practitioners resulted in the development of a configurable, generic, distributed and scalable wireless CM system prototypes. The prototypes leverage on an appropriate synergy of constituent technologies in embedded systems, wireless network, and sensing and instrumentation, and their different applications share a unified design architecture that allows these technologies to be integrated where appropriate. Apart from a unified platform, these works are based on analogy of sound and vibrations generated, be they from industrial machine or humans under monitor. The thesis may thus be regarded as a collation of results enabling an advance in technology frontiers to allow novel industrial and healthcare CM applications, building on high power and cost efficiency, embedded and wireless CM platforms. | |
dc.language.iso | en | |
dc.subject | Machine Condition Monitoring, Machine Sound Analysis, Sensor Placement, Health Condition Monitoring, Fall Detection, Hearing Aid | |
dc.type | Thesis | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.contributor.supervisor | TAN KOK KIONG | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Ph.D Theses (Open) |
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ErPV.pdf | 21.9 MB | Adobe PDF | OPEN | None | View/Download |
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