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Smart Monitoring of Manufacturing Systems for Automated Decision-Making: A Multi-Method Framework.
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- معلومة اضافية
- المصدر:
Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
- بيانات النشر:
Original Publication: Basel, Switzerland : MDPI, c2000-
- الموضوع:
- نبذة مختصرة :
Smart monitoring plays a principal role in the intelligent automation of manufacturing systems. Advanced data collection technologies, like sensors, have been widely used to facilitate real-time data collection. Computationally efficient analysis of the operating systems, however, remains relatively underdeveloped and requires more attention. Inspired by the capabilities of signal analysis and information visualization, this study proposes a multi-method framework for the smart monitoring of manufacturing systems and intelligent decision-making. The proposed framework uses the machine signals collected by noninvasive sensors for processing. For this purpose, the signals are filtered and classified to facilitate the realization of the operational status and performance measures to advise the appropriate course of managerial actions considering the detected anomalies. Numerical experiments based on real data are used to show the practicability of the developed monitoring framework. Results are supportive of the accuracy of the method. Applications of the developed approach are worthwhile research topics to research in other manufacturing environments.
- References:
Sensors (Basel). 2018 Jun 30;18(7):. (PMID: 29966374)
Sensors (Basel). 2020 Jan 06;20(1):. (PMID: 31935948)
Bioinformatics. 1998;14(9):755-63. (PMID: 9918945)
- Grant Information:
NTUT-KMITL-109-01 National Taipei University of Technology; KREF156202 King Mongkut's Institute of Technology Ladkrabang
- Contributed Indexing:
Keywords: intelligent decision-making; overall equipment efficiency (OEE); signal analysis; smart monitoring
- الموضوع:
Date Created: 20211026 Date Completed: 20211027 Latest Revision: 20211029
- الموضوع:
20240829
- الرقم المعرف:
PMC8541431
- الرقم المعرف:
10.3390/s21206860
- الرقم المعرف:
34696072
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