Identification of abnormal conditions for gold flotation process based on multivariate information fusion and double‐channel convolutional neural network-Reference-Cited by-同舟云学术

Identification of abnormal conditions for gold flotation process based on multivariate information fusion and double‐channel convolutional neural network

Published:2023-01-23 Issue: Volume: Page:
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can J Chem Eng

Author:

Wang Shu¹,Zhang Lin¹,Lu Di¹,Fu Yu¹

Affiliation:

1. The College of Information Science and Engineering Northeastern University Shenyang China

Publisher

Wiley

Subject

General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.24798

Reference26 articles.

1. A review of zinc oxide mineral beneficiation using flotation method

2. Process working condition recognition based on the fusion of morphological and pixel set features of froth for froth flotation

3. Flotation process fault detection using output PDF of bubble size distribution

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