Visualization of the controller states of an autogenous mill from time series data

QR Code

Visualization of the controller states of an autogenous mill from time series data

The operational variables of an industrial autogenous mill were embedded in a low-dimensional phase space to facilitate visualization of the dynamic behavior of the mill. This was accomplished by use of a multivariate extension of the method of delay coordinates used in nonlinear time series analysi...

Full description

Bibliographic Details
Main Authors:	Aldrich, Chris, Burchell, J., Groenewald, V., Yzelle, C.
Format:	Journal Article
Published:	Elsevier 2014
Subjects:	comminution modeling nonlinear time series analysis neural networks
Online Access:	http://hdl.handle.net/20.500.11937/42906

Similar Items

Interpretation of nonlinear relationships between process variables by use of random forests
by: Auret, L., et al.
Published: (2012)

Statistical monitoring of a grinding circuit: An industrial case study
by: de V. Groenewald, J., et al.
Published: (2006)

Fine Grinding in a Horizontal Ball Mill
by: Partyka, Trish, et al.
Published: (2007)

Neurocontrol of a multi-effect batch distillation pilot plant based on evolutionary reinforcement learning
by: Conradie, A., et al.
Published: (2010)

Modelling of biomass milling
by: Newbolt, Gary S.
Published: (2018)

Classification of process dynamics with Monte Carlo singular spectrum analysis
by: Jemwa, G., et al.
Published: (2006)

Estimation of platinum flotation grades from froth image data
by: Marais, C., et al.
Published: (2011)

Robust methods in univariate time series models
by: Whitehouse, Emily J.
Published: (2017)

Detecting changes in the operational states of hydrocyclones
by: van Vuuren, J., et al.
Published: (2011)

Change point detection in time series data with random forests
by: Auret, L., et al.
Published: (2010)

Time series modelling of tourist arrivals to Malaysia
by: Shitan, Mahendran
Published: (2008)

The estimation of platinum flotation grade from froth image features by using artificial neural networks
by: Marais, C., et al.
Published: (2011)

A time series analysis of determinants of FDI in Afghanistan: which one matters the most, security or economic growth? / Abdul Fareed Delawari
by: Delawari, Abdul Fareed
Published: (2018)

The effect of microwave pretreatment on the liberation of a copper carbonate ore after milling
by: Scott, G., et al.
Published: (2008)

Modelling of large-scale brain network dynamics
by: Forrester, Michael J.
Published: (2021)

Correlation-aided method for identification and gradation of periodicities in hydrologic time series
by: Xie, Ping, et al.
Published: (2021)

Time series properties of the class of generalized first order autoregressive processes with moving average errors
by: Shitan, Mahendran, et al.
Published: (2011)

Dispersion of PM₁₀ from industrial and road transportation network emissions in the Klang Valley, Malaysia
by: Jamalani, Mohd Asrul
Published: (2019)

Deriving the ideal ore texture for microwave treatment of metalliferous ores
by: Batchelor, A.R., et al.
Published: (2015)

Applied analysis of labour and financial markets using time series methods.
by: MacDonald, Garry A.
Published: (1997)

Optimisation of biomass milling for conveyance and combustion
by: Williams, Orla, et al.
Published: (2013)

Properties of selected garma models and their estimation procedures
by: Ramiah Pillai, Thulasyammal
Published: (2012)

River flow forecasting using an integrated approach of wavelet analysis and artificial neural networks
by: Badrzadeh, Honey, et al.
Published: (2012)

Towards optimal symbolization for time series comparisons
by: Smith, Gavin, et al.
Published: (2013)

The impact of moisture on the milling behavior of different biomasses
by: Williams, Orla, et al.
Published: (2014)

On-line monitoring of hydrocyclones by use of image analysis
by: van Vuuren, J., et al.
Published: (2010)

A comparison of multivariate and univariate time series approaches to modelling and forecasting emergency department demand in Western Australia
by: Aboagye-Sarfo, P., et al.
Published: (2015)

Impact of infection control interventions on rates of Staphylococcus aureus bacteraemia in National Health Service acute hospitals, East Midlands, UK, using interrupted time-series analysis
by: Newitt, S., et al.
Published: (2015)

Combined Wavelet-Neural Network Model for Intermittent Stream Flow Prediction
by: Badrzadeh, Honey, et al.
Published: (2012)

Fuzzy time series and geometric brownian motion in forecasting stock prices in Bursa Malaysia / Nur Ezzati Dayana Mohd Ramli
by: Mohd Ramli, Nur Ezzati Dayana
Published: (2020)

AMP: a new time-frequency feature extraction method for intermittent time-series data
by: Barrack, Duncan S., et al.
Published: (2015)

Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
by: Ali Adlan, Hanan Hassan
Published: (2004)

Speaker Independent Speech Recognition Using Neural Network
by: Tan, Chin Luh
Published: (2004)

Surface electromyography classification of hand motions using time domain features for real time application
by: Ahmad Nadzri, Ahmad Akmal
Published: (2016)

Parameter estimation for nonlinear time-delay systems with noisy output measurements
by: Lin, Qun, et al.
Published: (2015)

Overcoming the caking phenomenon in olive mill wastes
by: Williams, Orla, et al.
Published: (2017)

Switching time and parameter optimization in nonlinear switched systems with multiple time-delays
by: Liu, C., et al.
Published: (2014)

Threshold effects in nonlinear models with an application to the social capital-retirement-health relationship
by: Gannon, B., et al.
Published: (2014)

Modularity in artificial neural networks
by: Amer, Mohammed Elsayed Mohammed
Published: (2021)

Approximating Nonlinear Relations Between Susceptibility andMagnetic Contents in Rocks Using Neural Networks
by: Guo, W., et al.
Published: (2010)

Cannot write session to /tmp/vufind_sessions/sess_gcthna5u9g6fki2lc2sm870905