TY - JOUR
T1 - Guest Editorial Special Issue on Sensors for Process Imaging
AU - Tan, Chao
AU - Soleimani, Manuchehr
AU - Jose Da Silva, Marco
AU - Bieberle , Andre
PY - 2017/11/22
Y1 - 2017/11/22
N2 - Sustainable industrial production requires the use of advanced sensors and controls. In many industrial activities, the sensing and monitoring of processes provides valuable information for controlling and decision-making strategies as well as supporting the understanding and modeling of the phenomena involved. Since safety and efficiency requirements are continuously growing, the quality of information is becoming more and more important. A current trend to accomplish such requirements is the use of imaging sensors and systems generating and processing multidimensional data to extract key information from the processes. Further work is required to ensure that these imaging technologies are actually providing information that can be easily adapted and used in process control. This requires a holistic look at these sensing methods and data analysis.
AB - Sustainable industrial production requires the use of advanced sensors and controls. In many industrial activities, the sensing and monitoring of processes provides valuable information for controlling and decision-making strategies as well as supporting the understanding and modeling of the phenomena involved. Since safety and efficiency requirements are continuously growing, the quality of information is becoming more and more important. A current trend to accomplish such requirements is the use of imaging sensors and systems generating and processing multidimensional data to extract key information from the processes. Further work is required to ensure that these imaging technologies are actually providing information that can be easily adapted and used in process control. This requires a holistic look at these sensing methods and data analysis.
U2 - 10.1109/JSEN.2017.2772000
DO - 10.1109/JSEN.2017.2772000
M3 - Editorial
SN - 1530-437X
VL - 17
SP - 8026
EP - 8026
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 24
M1 - 8118058
ER -