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D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
8402
World Ranking
5447
National Ranking
283

Overview

Chris Aldrich is affiliated with Curtin University in Australia, focusing on research primarily within the field of engineering. Their work extends into multiple subfields including mechanical engineering, ocean engineering, control and systems engineering, artificial intelligence, and water science and technology.

The scientist's main research topics include mineral processing and grinding, fault detection and control systems, minerals flotation and separation techniques, drilling and well engineering, non-destructive testing techniques, reservoir engineering and simulation methods, and anomaly detection techniques and applications.

Key publication venues where Chris Aldrich has frequently contributed are:

  • Minerals Engineering
  • IFAC-PapersOnLine
  • Minerals
  • Preprints.org
  • Metals

Their recent papers demonstrate a focus on mining and mineral processing technologies, image analysis, and process control methodologies. Selected recent papers include:

  • Recent advances in flotation froth image analysis (2022, Minerals Engineering)
  • Process Variable Importance Analysis by Use of Random Forests in a Shapley Regression Framework (2020, Minerals)
  • Deep Learning in Mining and Mineral Processing Operations: A Review (2020, IFAC-PapersOnLine)
  • Deep Learning Approaches to Image Texture Analysis in Material Processing (2022, Metals)
  • Detection and severity identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks (2020, Chemometrics and Intelligent Laboratory Systems)

Collaborations play a significant role in their research, with frequent co-authors including:

  • Xiu Liu
  • Louisa O'Connor
  • Massimiliano Zanin
  • Lei Chen
  • Daniel Goldstein

Chris Aldrich's academic output reflects an integration of engineering principles with advanced data analysis techniques such as machine learning and deep learning applied to mineral processing and control systems. This interdisciplinary approach is evident in their exploration of process variable importance and fault detection within industrial processes.

Best Publications

  • Treatment of acid mine water by use of heavy metal precipitation and ion exchange

    D. Feng;C. Aldrich;H. Tan

  • Online monitoring and control of froth flotation systems with machine vision: A review

    C. Aldrich;C. Marais;B.J. Shean;J.J. Cilliers

  • Adsorption of heavy metals by biomaterials derived from the marine alga Ecklonia maxima

    D Feng;C Aldrich

  • Interpretation of nonlinear relationships between process variables by use of random forests

    Lidia Auret;Chris Aldrich

  • Biosorption of heavy metals from aqueous solutions with tobacco dust.

    B. Qi;Chris Aldrich

  • Removal of pollutants from acid mine wastewater using metallurgical by-product slags

    D. Feng;J.S.J. van Deventer;C. Aldrich

  • Effect of particle size on flotation performance of complex sulphide ores

    D. Feng;C. Aldrich

  • ANN-DT: an algorithm for extraction of decision trees from artificial neural networks

    G.P.J. Schmitz;C. Aldrich;F.S. Gouws

  • Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

    Chris Aldrich;Lidia Auret

  • The interpretation of flotation froth surfaces by using digital image analysis and neural networks

    D.W. Moolman;C. Aldrich;J.S.J. Van Deventer;D.J. Bradshaw

  • The significance of flotation froth appearance for machine vision control

    D.W. Moolman;J.J. Eksteen;C. Aldrich;J.S.J. van Deventer

  • Sonochemical treatment of simulated soil contaminated with diesel

    D Feng;C Aldrich

  • Digital image processing as a tool for on-line monitoring of froth in flotation plants

    D.W. Moolman;C. Aldrich;J.S.J. Van Deventer;W.W. Stange

  • Flotation froth image recognition with convolutional neural networks

    Y. Fu;C. Aldrich

  • Froth image analysis by use of transfer learning and convolutional neural networks

    Yihao Fu;Chris Aldrich;Chris Aldrich

  • Direct leach approaches to Platinum Group Metal (PGM) ores and concentrates: A review

    C. Mpinga;Jacques Eksteen;Chris Aldrich;L. Dyer

  • Ex situ diesel contaminated soil washing with mechanical methods

    D. Feng;L. Lorenzen;C. Aldrich;P.W. Maré

  • Empirical comparison of tree ensemble variable importance measures

    Lidia Auret;Chris Aldrich

  • Removal of heavy metals from wastewater effluents by biosorptive flotation.

    C. Aldrich;D. Feng

  • The interrelationship between surface froth characteristics and industrial flotation performance

    D.W. Moolman;C. Aldrich;G.P.J. Schmitz;J.S.J. Van Deventer

  • Removal of heavy metal ions by carrier magnetic separation of adsorptive particulates

    D Feng;C Aldrich;H Tan

Frequent Co-Authors

Damien W. M. Arrigan
Damien W. M. Arrigan Curtin University
Markus A. Reuter
Markus A. Reuter Helmholtz-Zentrum Dresden-Rossendorf
Risto Miikkulainen
Risto Miikkulainen The University of Texas at Austin
Jannie S.J. van Deventer
Jannie S.J. van Deventer University of Melbourne
Mohammad Sarmadivaleh
Mohammad Sarmadivaleh Colorado School of Mines
Maurice S. Onyango
Maurice S. Onyango Tshwane University of Technology
Jan J. Cilliers
Jan J. Cilliers Imperial College London
Mostafa Sharifzadeh
Mostafa Sharifzadeh Curtin University
Mustafa Sahin
Mustafa Sahin Boston Children's Hospital
Dee Bradshaw
Dee Bradshaw University of Queensland

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