Monitoring of Mineral Processing Operations based on Multivariate Similarity Indices

QR Code

Monitoring of Mineral Processing Operations based on Multivariate Similarity Indices

Multivariate process monitoring through covariance control charts considers changes in the relationships among process variables, but is limited by linearity assumptions. In this paper two nonlinear indicators of multivariate structure are considered, viz. mutual information and random forest proxim...

Full description

Bibliographic Details
Main Authors:	Auret, L., Aldrich, Chris
Other Authors:	L Auret
Format:	Conference Paper
Published:	Elsevier 2011
Subjects:	random forests machine learning mineral processing Fault detection
Online Access:	http://hdl.handle.net/20.500.11937/35838

Similar Items

Empirical comparison of tree ensemble variable importance measures
by: Auret, L., et al.
Published: (2011)

Fault detection and diagnosis with random forest feature extraction and variable importance methods
by: Aldrich, Chris, et al.
Published: (2010)

Unsupervised process monitoring and fault diagnoses with machine learning methods
by: Aldrich, Chris, et al.
Published: (2013)

Monitoring of an industrial liquid–liquid extraction system with kernel-based methods
by: Jemwa, G., et al.
Published: (2005)

A Transductive Learning Approach to Process Fault Identification
by: Jemwa, G., et al.
Published: (2010)

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

Classification and interpretation in quantitative structure-activity relationships
by: Bruce, Craig L.
Published: (2010)

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

A machine learning method to estimate PM 2.5 concentrations across China with remote sensing, meteorological and land use information
by: Chen, Gongbo, et al.
Published: (2018)

Application of machine learning for fuel consumption modelling of trucks
by: Perrotta, Federico, et al.
Published: (2017)

Explaining anomalies in coal proximity and coal processing data with Shapley and tree-based models
by: Liu, Xiu, et al.
Published: (2022)

Fault detection for PMSM motor drive systems by monitoring inverter input currents
by: Li, Jing, et al.
Published: (2017)

Automatic image annotation applied to habitat classification
by: Torres Torres, Mercedes
Published: (2015)

A new machine learning based method for multi-GNSS data quality assurance and multipath detection
by: Quan, Yiming
Published: (2017)

Fault signal propagation through the PMSM motor drive systems
by: Li, Jing, et al.
Published: (2017)

Monitoring of mineral processing systems by using textural image analysis
by: Aldrich, Chris, et al.
Published: (2013)

Density-based separation innovations in coal and minerals processing applications
by: Honaker, R., et al.
Published: (2013)

A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes
by: Yin, Y., et al.
Published: (2015)

Efficient Training and Implementation of Gaussian Process Potentials
by: Broad, Jack W.
Published: (2022)

An investigation into automatic people counting and person re-identification
by: Xu, Bolei
Published: (2018)

Multivariate Image Processing in Minerals Engineering with Vision Transformers
by: Liu, Xiu, et al.
Published: (2024)

In-process measurement of the surface quality for a novel finishing process for polymer additive manufacturing
by: Syam, Wahyudin P., et al.
Published: (2018)

Fault detection and diagnostics of a three-phase separator
by: Vileiniskis, Marius, et al.
Published: (2016)

Kernel-based fault diagnosis on mineral processing plants
by: Gorden, T., et al.
Published: (2006)

Automatic gestational age estimation from newborn babies’ facial photo analysis.
by: Mosanya, Chidera Aristotle
Published: (2016)

Mineral status in canine medial coronoid process disease: a cohort study using analysis of hair by mass spectrometry
by: Davies, M., et al.
Published: (2017)

Computation of Probability Coefficients using Binary Decision Diagram and their Application in Test Vector Generation
by: Singh, Ashutosh Kumar, et al.
Published: (2009)

Seismic data conditioning and neural network-based attribute selection for enhanced fault detection
by: Chehrazi, A., et al.
Published: (2013)

Machine learning and natural language processing to identify falls in electronic patient care records from ambulance attendances
by: Tohira, Hideo, et al.
Published: (2021)

Mineral property - Rights, Royalties and Rents
by: Mather, Diarmid, et al.
Published: (2010)

Microwave processing of oil sands and contribution of clay minerals
by: Robinson, John P., et al.
Published: (2014)

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

Remote sensing and GIS application for monitoring forest management operations
by: Ratnayake, Ranitha
Published: (2004)

Fast global interactive volume segmentation with regional supervoxel descriptors
by: Luengo, Imanol, et al.
Published: (2016)

A Combination of Classification Robust Adaptive Kalman Filter with PPP-RTK to Improve Fault Detection for Integrity Monitoring of Autonomous Vehicles
by: Elsayed, Hassan, et al.
Published: (2025)

Radial force control for triple three-phase sectored SPM machines. Part II: Open winding fault tolerant control
by: Sala, Giacomo, et al.
Published: (2017)

Online monitoring and control of froth flotation systems with machine vision:A review
by: Aldrich, Chris, et al.
Published: (2010)

Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing
by: Everton, Sarah K., et al.
Published: (2016)

The application of classification methods to the gross error detection problem
by: Gerber, E., et al.
Published: (2014)

A fault detection method for railway point systems
by: Vileiniskis, Marius, et al.
Published: (2016)

Cannot write session to /tmp/vufind_sessions/sess_1j0d170a85dorgeqm589cmojp9