2006
DOI: 10.1109/tase.2006.876610
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Distributed Sensing for Quality and Productivity Improvements

Abstract: Distributed sensing, a system-wide deployment of sensing devices, has resulted in both temporally and spatially dense data-rich environments. This new technology provides unprecedented opportunities for quality and productivity improvement. This paper discusses the state-of-the-art practice, research challenges, and future directions related to distributed sensing. The discussion includes the optimal design of distributed sensor systems, information criteria, and processing for distributed sensing and optimal … Show more

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Cited by 55 publications
(24 citation statements)
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“…Considering the roles of sensors, the reasonable sensor configuration was helpful to monitor the changes of QFs and improve the product quality. Ding et al [24] presented a distributed sensor configuration method according to product quality improvement, and they discussed the key technology about the optimization, design, and information processing in sensor systems. Yao and Han [25] established the node placement model in large-scale or superlarge-scale sensor network and provided the solution.…”
Section: Quality Monitoring In Sensor Systemsmentioning
confidence: 99%
“…Considering the roles of sensors, the reasonable sensor configuration was helpful to monitor the changes of QFs and improve the product quality. Ding et al [24] presented a distributed sensor configuration method according to product quality improvement, and they discussed the key technology about the optimization, design, and information processing in sensor systems. Yao and Han [25] established the node placement model in large-scale or superlarge-scale sensor network and provided the solution.…”
Section: Quality Monitoring In Sensor Systemsmentioning
confidence: 99%
“…They can produce widely accessible, reliable and accurate information about physical environments. Distributed sensor networks integrating multiple sensors into manufacturing systems already enable adaptive and flexible automation and increase process adaptability and quality control (Ding et al, 2006). Remote sensing applications, including environmental monitoring, weather prediction and agricultural applications require large-scale sensor networking systems.…”
Section: Related Studiesmentioning
confidence: 99%
“…By realizing a data-rich environment both spatially and temporally, WSNs provide opportunities to improve quality and productivity which could not be obtained in the past. Many endeavors have been taken to apply WSNs for manufacturing areas, from process diagnosis [2] to enterprise-level inventory control [3]. Typical sensing tasks for such wireless microsensors include temperature, light, vibration, sound, radiation, etc.…”
Section: Introductionmentioning
confidence: 99%