In this section
蔼补谤迟颈肠濒别调颁别肠铆濒颈辞:2014:10.1109/罢颁厂罢.2014.2377182,
author = {Cec铆lio, IM and Ottewill, JR and Fretheim, H and Thornhill, NF},
doi = {10.1109/TCST.2014.2377182},
journal = {IEEE Transactions on Control Systems Technology},
pages = {1477--1493},
title = {Multivariate Detection of Transient Disturbances for Uni- and Multirate Systems},
url = {http://dx.doi.org/10.1109/TCST.2014.2377182},
volume = {23},
year = {2014}
}
TY - JOUR
AB - This paper presents a method to detect transientdisturbances in a multivariate context, and an extension of thatmethod to handle multirate systems. Both methods are basedon a time series analysis technique known as nearest neighbors,and on multivariate statistics implemented as a singular valuedecomposition. The motivation for these developments is thatthere is an increasing industrial requirement for the analysisof data sets comprising measurements from industrial processestogether with their associated electrical and mechanicalequipment. These systems are increasingly affected by transientdisturbances, and their measurements are commonly sampledat different rates. This paper demonstrates superior resultswith the multivariate method in comparison with the univariateapproach, and with the multirate method in comparison toa unirate method, for which the fast-sampled measurementshad to be downsampled. The method is demonstrated onexperimental and industrial case studies.
AU - Cec铆lio,IM
AU - Ottewill,JR
AU - Fretheim,H
AU - Thornhill,NF
DO - 10.1109/TCST.2014.2377182
EP - 1493
PY - 2014///
SN - 1558-0865
SP - 1477
TI - Multivariate Detection of Transient Disturbances for Uni- and Multirate Systems
T2 - IEEE Transactions on Control Systems Technology
UR - http://dx.doi.org/10.1109/TCST.2014.2377182
VL - 23
ER -
, ABB/RAEng Professor of Process Automation
Centre for Process Systems Engineering
Department of Chemical Engineering
911今日黑料
South Kensington Campus, London SW7 2AZ
Tel: +44 (0)20 7594 6622
Email: n.thornhill@imperial.ac.uk