Distributed sensing for quality and productivity improvements Academic Article

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 decision making in distributed sensing. The discussion also provides applications based on the authors' research experiences. 2006 IEEE.

authors

• Ding, Yu

published proceedings

• IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

altmetric score

• 3

author list (cited authors)

• Ding, Y. u., Elsayed, E. A., Kumara, S., Lu, J., Niu, F., & Shi, J. J.

citation count

• 54

complete list of authors

• Ding, Yu||Elsayed, Elsayed A||Kumara, Soundar||Lu, Jye-Chyi||Niu, Feng||Shi, Jianjun Jan

publication date

• October 2006

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Automation Science and Engineering  Journal

keywords

• Decision Making
• Distributed Sensor Systems
• Quality Improvement
• Sensor Optimization

Digital Object Identifier (DOI)

• 10.1109/TASE.2006.876610

start page

• 344

end page

• 359

volume

• 3

issue

• 4