Detecting performance improvements in trials with time-varying mineral processes

Napier-Munn, T. J. (1995) Detecting performance improvements in trials with time-varying mineral processes. Minerals Engineering, 8 8: 843-858.

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Author Napier-Munn, T. J.
Title Detecting performance improvements in trials with time-varying mineral processes
Journal name Minerals Engineering   Check publisher's open access policy
ISSN 0892-6875
Publication date 1995
Sub-type Article (original research)
Open Access Status
Volume 8
Issue 8
Start page 843
End page 858
Total pages 16
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Language eng
Formatted abstract
Mineral processing engineers often conduct trials to improve the performance of their plants. A common problem in such trials is detecting real but relatively small improvements or changes in process performance against a background of very noisy data. This large data variance is frequently caused by (among other things) long-term time trena!s in performance, which can be a result of systematic changes in feed conditions.  This paper &scribes two welt-known statistical procedures for dealing with such situations, the paired t-test and the randomised block experiment. These methods are illustrated through their application to three real case studies in base metal flotation plants, ail involving “yes-no ” decisions, and all using metal recovery as the main performance criterion:
1. The evaluation of a new f7otation collector in a production plant.
2. The assessment of two altemative~otation circuit configurations in a pilot plant.
3. Determination of the value of introducing a regrind stage ahead of a flotation circuit in a production plant.
The paper considers the practical problems encountered in these experiments, discusses the compromises sometimes required in analysing imperfect experiments, and shows how the statistical procedures can be used to make good decisions in the face of uncertainty.  The formulae ana’ computational procedures are given in fill to encourage their application to similar situations in the practice of mineral processing.
Keyword Experimental design
Tme series analysis
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Julius Kruttschnitt Mineral Research Centre Publications
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Created: Thu, 09 Apr 2015, 11:55:59 EST by Karen Holtham on behalf of Julius Kruttschnitt Mineral Research Centre