7,475 research outputs found
PRONTO heterogeneous benchmark dataset
The PRONTO heterogeneous benchmark dataset is based on an industrial-scale multiphase flow facility. It includes data from heterogeneous sources, including process measurements, alarm records, high frequency ultrasonic flow and pressure measurements, an operation log and video recordings. The study collected data from various operational conditions with and without induced faults to generate a multi-rate, multi-modal dataset. The dataset is suitable for developing and validating algorithms for fault detection and diagnosis (FDD) and data fusion.
When using the dataset please cite the following publication:
A. Stief, R. Tan, Y. Cao, J. R. Ottewill, N. F. Thornhill, J. Baranowski, A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study, Journal of Process Control, 79 (2019) 41–55, DOI: https://doi.org/10.1016/j.jprocont.2019.04.009
The dataset has been used in the following works:
A. Stief, R. Tan, Y. Cao, J. R. Ottewill. Analytics of heterogeneous process data: Multiphase flow facility case study. IFAC-PapersOnLine, 51(18):363–368, 2018. DOI: https://doi.org/10.1016/j.ifacol.2018.09.327
A. Stief, J. R. Ottewill, R. Tan, Y. Cao. Process and alarm data integration under a two-stage Bayesian framework for fault diagnostics. IFAC-PapersOnLine, 51(24):1220–1226, 2018. DOI: https://doi.org/10.1016/j.ifacol.2018.09.696
A. Stief, J. R. Ottewill, J. Baranowski. Investigation of the diagnostic properties of sensors and features in a multiphase flow facility case study. in: 12th IFAC Symposium on Dynamics and Control of Process Systems (in press), 2019
M. Lucke, X. Mei, A. Stief, M. Chioua, N. F. Thornhill. Variable selection for fault detection and identification based on mutual information of multi-valued alarm series, in: 12th IFAC Symposium on Dynamics and Control of Process Systems (in press), 2019
R. Tan, T. Cong, N. F. Thornhill, J. R. Ottewill, J. Baranowski. Statistical monitoring of processes with multiple operating modes, in: 12th IFAC Symposium on Dynamics and Control of Process Systems (in press), 2019
Deviation Contribution Plots of Multivariate Statistics
As data analytic techniques evolve and the accessibility of process measurements improves, data-driven process monitoring has enjoyed a quick development in both theoretical and application perspectives recently. Although abundant process measurements will facilitate data-driven process monitoring and lead to better monitoring indices, it becomes difficult to identify the underlying variables that are responsible for a fault directly with the monitoring indices as the scope of measured variables is getting broader. To restrain the scope and identify the source of fault, contribution plots are commonly used in fault diagnosis in order to quantify the influence of process variables in presence of fault. Nevertheless, as sophisticated monitoring techniques become more and more complicated, deriving corresponding contribution plots is challenging. The concept of deviation contribution plots is proposed to address this issue. By extending the original definition of contribution for linear processes, the deviation contribution is defined to quantify the contribution of deviations in originally measured variables to the deviation of monitoring indices. The ability of proposed deviation contribution plots to identify influential variables in monitoring algorithms based on nonlinear feature extractions is verified by both numerical simulation and the Tennessee Eastman Process benchmark case study
Dialogical Skirmishes
Tan was guest editor for 'And Now China?', a special print edition of the Ctrl+P journal, which critically responded to the celebratory rhetoric’s of ‘China Now’ and other celebratory markers of China's global ascent in 2008. As well as the introductory article 'Dialogical Skirmishes', Tan also interviewed Hans Ulrich Obrist
Evidence for erbium-erbium energy migration in erbium(III) bis(perfluoro-p-tolyl)phosphinate
Copyright 2008 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. This article appeared in Applied Physics Letters 92, 103303 (2008) and may be found at
Free thinking - running
We've been running for two million years give or take. Shahidha Bari and Laurence Scott explore contemporary running as solitary inspiration and communal activity with the Geographer and 1999 Scottish Hill Running Champion, Hayden Lorimer, the artists Kai Syng Tan and Angus Farquhar, and the literary scholar and bare-foot artiste, Vybarr Cregan-Reid. Conversation ranges from feeling empowered on city streets to teaming up with the wind to the horrid history of the treadmill and explore whether Running deserves better representation in the arts. Guests: Vybarr Cregan-Reid - author of Footnotes How Running Makes Us Human Angus Farquhar, Creative Director of NVA Public Art, author of a blog 'The Grim Runner' Hayden Lorimer Running Geographer Kai Syng Tan, Artist and curator of a biennial festival Run Run Run Producer: Jacqueline Smith
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