• Media type: E-Book
  • Title: Data-driven Calibration of Temperature Sensors for Process Control in Model Factory : Use Case of a Curing Chamber
  • Contributor: Karalikkadan, Ashhar [VerfasserIn]; Shan, Cui [VerfasserIn]; Yan, Fan [VerfasserIn]; Lee Xin Fen, Gladys [VerfasserIn]; Chan, Ian [VerfasserIn]
  • imprint: [S.l.]: SSRN, [2022]
  • Extent: 1 Online-Ressource (6 p)
  • Language: English
  • DOI: 10.2139/ssrn.4072217
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments April 4, 2022 erstellt
  • Description: Process control has always been a crucial step in a manufacturing process. Sensors have been widely used in the industry to aid in process control solutions to allow manufacturers to keep their operations running within specified limits for quality and safety controls. With an increasing number of sensors on the shop floor, it becomes time-consuming and interruptive to calibrate every sensor. Proper sensor calibration traceable to the international system of units (SI) is still necessary, as it is the foundation of accurate measurements, which in turn, provides reliable process control. National Metrology Centre (NMC) has developed a data-driven calibration method and algorithm for the temperature sensors inside a curing chamber with minimum interruption to the process at the shop floor and maintain traceability to international standards. Working together with the Singapore Institute of Manufacturing Technology (SIMTech), NMC has test bedded the technology in the Model Factory SIMTech before actual implementation at the client site
  • Access State: Open Access