The φ-relation and a simple method to predict how many data points are needed for relevant steady-state detection
Abstract
Steady–state detection is of vital importance for experiments and simulations in chemical engineering, as well as also other fields of science, engineering, and finance—particularly when the full timescale of interest cannot be measured or simulated. We present a breakthrough for estimating the number of data points required before successful steady–state detection is feasible. Using an initial window of data, the method enables predicting the prerequisites for steady state detection (ppSSD), given as a number of data points. The method is shown to be accurate for data with realistic distributions (uniform, normal, and sine–wave), and data from actual kinetic Monte Carlo simulations. In conclusion, users need only to use the algebraic equations derived and provided in this work to estimate the required number of data points for relevant steady–state detection.
- Authors:
-
[2]
- Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1464027
- Alternate Identifier(s):
- OSTI ID: 1438963
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- AIChE Journal
- Additional Journal Information:
- Journal Volume: 64; Journal Issue: 9; Journal ID: ISSN 0001-1541
- Publisher:
- American Institute of Chemical Engineers
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; steady state; steady state detection; ppSSD; projected; slope; SSD
Citation Formats
Nellis, Christopher E., Hin, Celine N., and Savara, Aditya Ashi. The φ-relation and a simple method to predict how many data points are needed for relevant steady-state detection. United States: N. p., 2018.
Web. doi:10.1002/aic.16199.
Nellis, Christopher E., Hin, Celine N., & Savara, Aditya Ashi. The φ-relation and a simple method to predict how many data points are needed for relevant steady-state detection. United States. https://doi.org/10.1002/aic.16199
Nellis, Christopher E., Hin, Celine N., and Savara, Aditya Ashi. Mon .
"The φ-relation and a simple method to predict how many data points are needed for relevant steady-state detection". United States. https://doi.org/10.1002/aic.16199. https://www.osti.gov/servlets/purl/1464027.
@article{osti_1464027,
title = {The φ-relation and a simple method to predict how many data points are needed for relevant steady-state detection},
author = {Nellis, Christopher E. and Hin, Celine N. and Savara, Aditya Ashi},
abstractNote = {Steady–state detection is of vital importance for experiments and simulations in chemical engineering, as well as also other fields of science, engineering, and finance—particularly when the full timescale of interest cannot be measured or simulated. We present a breakthrough for estimating the number of data points required before successful steady–state detection is feasible. Using an initial window of data, the method enables predicting the prerequisites for steady state detection (ppSSD), given as a number of data points. The method is shown to be accurate for data with realistic distributions (uniform, normal, and sine–wave), and data from actual kinetic Monte Carlo simulations. In conclusion, users need only to use the algebraic equations derived and provided in this work to estimate the required number of data points for relevant steady–state detection.},
doi = {10.1002/aic.16199},
journal = {AIChE Journal},
number = 9,
volume = 64,
place = {United States},
year = {Mon May 07 00:00:00 EDT 2018},
month = {Mon May 07 00:00:00 EDT 2018}
}
Free Publicly Available Full Text
Publisher's Version of Record
Other availability
Search WorldCat to find libraries that may hold this journal
Cited by: 1 work
Citation information provided by
Web of Science
Web of Science
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
Steady-state simulation of queueing processes: survey of problems and solutions
journal, June 1990
- Pawlikowski, Krzysztof
- ACM Computing Surveys, Vol. 22, Issue 2
Kinetic Evidence for a Non-Langmuir-Hinshelwood Surface Reaction: H/D Exchange over Pd Nanoparticles and Pd(111)
journal, April 2013
- Savara, Aditya; Ludwig, Wiebke; Schauermann, Swetlana
- ChemPhysChem, Vol. 14, Issue 8
Composing Problem Solvers for Simulation Experimentation: A Case Study on Steady State Estimation
journal, April 2014
- Leye, Stefan; Ewald, Roland; Uhrmacher, Adelinde M.
- PLoS ONE, Vol. 9, Issue 4
Comparison of methodologies to assess the convergence of Markov chain Monte Carlo methods
journal, June 2006
- El Adlouni, Salaheddine; Favre, Anne-Catherine; Bobée, Bernard
- Computational Statistics & Data Analysis, Vol. 50, Issue 10
Kinetics of NO + H + + NO 3 − → NO 2 + HNO 2 on BaNa−Y: Evidence for a Diffusion-Limited A + B → 0 Reaction on a Surface
journal, October 2010
- Savara, Aditya; Weitz, Eric
- The Journal of Physical Chemistry C, Vol. 114, Issue 48
Review Article: Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems—A Review, Part I
journal, January 2005
- Katipamula, Srinivas; Brambley, Michael
- HVAC&R Research, Vol. 11, Issue 1
A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test
journal, November 1999
- Maddala, G. S.; Wu, Shaowen
- Oxford Bulletin of Economics and Statistics, Vol. 61, Issue s1
A comparative review of approaches to prevent premature convergence in GA
journal, November 2014
- Pandey, Hari Mohan; Chaudhary, Ankit; Mehrotra, Deepti
- Applied Soft Computing, Vol. 24
Catalyst deactivation: is it predictable?
journal, April 2001
- Moulijn, J. A.; van Diepen, A. E.; Kapteijn, F.
- Applied Catalysis A: General, Vol. 212, Issue 1-2
A steady-state detection (SSD) algorithm to detect non-stationary drifts in processes
journal, March 2013
- Kelly, Jeffrey D.; Hedengren, John D.
- Journal of Process Control, Vol. 23, Issue 3
Automating warm-up length estimation
conference, December 2008
- Hoad, Kathryn; Robinson, Stewart; Davies, Ruth
- 2008 Winter Simulation Conference (WSC)
Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives
journal, April 2010
- Vialatte, François-Benoît; Maurice, Monique; Dauwels, Justin
- Progress in Neurobiology, Vol. 90, Issue 4
An efficient method for on-line identification of steady state
journal, December 1995
- Cao, Songling; Rhinehart, R. Russell
- Journal of Process Control, Vol. 5, Issue 6
Automating warm-up length estimation
journal, September 2010
- Hoad, K.; Robinson, S.; Davies, R.
- Journal of the Operational Research Society, Vol. 61, Issue 9
SQERTSS: Dynamic rank based throttling of transition probabilities in kinetic Monte Carlo simulations
journal, October 2017
- Danielson, Thomas; Sutton, Jonathan E.; Hin, Céline
- Computer Physics Communications, Vol. 219
Water-gas shift reaction over an iron oxide/chromium oxide catalyst.
journal, January 1984
- Chinchen, G. C.; Logan, R. H.; Spencer, M. S.
- Applied Catalysis, Vol. 12, Issue 1
A Sequential Stopping Rule for a Steady-State Simulation Based on Time-Series Forecasting
journal, November 2002
- Mackulak, Gerald T.; Park, Sungmin; Fowler, John W.
- SIMULATION, Vol. 78, Issue 11
Numerical distribution functions for unit root and cointegration tests
journal, November 1996
- MacKinnon, James G.
- Journal of Applied Econometrics, Vol. 11, Issue 6
Water-gas shift reaction over an iron oxide/chromium oxide catalyst.
journal, January 1984
- Chinchen, G. C.; Logan, R. H.; Spencer, M. S.
- Applied Catalysis, Vol. 12, Issue 1
Design of a steady-state detector for fault detection and diagnosis of a residential air conditioner
journal, August 2008
- Kim, Minsung; Yoon, Seok Ho; Domanski, Piotr A.
- International Journal of Refrigeration, Vol. 31, Issue 5
Real-Time Identification of Hunt–Crossley Dynamic Models of Contact Environments
journal, June 2012
- Haddadi, Amir; Hashtrudi-Zaad, Keyvan
- IEEE Transactions on Robotics, Vol. 28, Issue 3
Calibration Transfer for Solving the Signal Instability in Quantitative Headspace-Mass Spectrometry
journal, November 2003
- Pérez Pavón, José Luis; del Nogal Sánchez, Miguel; García Pinto, Carmelo
- Analytical Chemistry, Vol. 75, Issue 22
A Facile and Template-Free Hydrothermal Synthesis of Mn 3 O 4 Nanorods on Graphene Sheets for Supercapacitor Electrodes with Long Cycle Stability
journal, March 2012
- Lee, Jeong Woo; Hall, Anthony S.; Kim, Jong-Duk
- Chemistry of Materials, Vol. 24, Issue 6
Automated steady and transient state identification in noisy processes
conference, June 2013
- Rhinehart, R. Russell
- 2013 American Control Conference (ACC)
General Methods for Monitoring Convergence of Iterative Simulations
journal, December 1998
- Brooks, Stephen P.; Gelman, Andrew
- Journal of Computational and Graphical Statistics, Vol. 7, Issue 4
Assessing Convergence of the Markov Chain Monte Carlo Algorithms: a Review
journal, June 2003
- Sinharay, Sandip
- ETS Research Report Series, Vol. 2003, Issue 1
Water-gas shift reaction over an iron oxide/chromium oxide catalyst.
journal, January 1984
- Chinchen, G. C.; Logan, R. H.; Spencer, M. S.
- Applied Catalysis, Vol. 12, Issue 1
A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test
journal, November 1999
- Maddala, G. S.; Wu, Shaowen
- Oxford Bulletin of Economics and Statistics, Vol. 61, Issue S1