Robust Digital Differentiation With Application To Coal Mining

Nigel McGinty; Sam Crisafulli

doi:10.1071/ASEG2001ab086

ISSN: 2202-0586
E-ISSN:

oa Robust Digital Differentiation With Application To Coal Mining
Authors Nigel McGinty^a and Sam Crisafulli^b
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^a Communications DivisionDefence Science and Technology Org., [email protected] ^b UNAC Automation Pty Ltd, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2001, Issue ASEG2001 - 15th Geophysical Conference, Dec 2001, p. 1 - 4
DOI: https://doi.org/10.1071/ASEG2001ab086
- Published online: 01 Dec 2001

Abstract

This paper investigates digital differentiation performed using a Kalman filter. The model employed allows noise immunity by ensuring a high frequency roll off. The differentiation technique is applied to estimating coal mine instability by monitoring the hydraulic pressure from roof supports. The Kalman filter model which implements a digital differentiator is thoroughly analyzed in this paper.

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2001-12-01

2026-01-14

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References

Anderson, B., and Moore, J., 1979, Optimal filtering: Prentice-Hall, NJ, USA.
Carlsson, B., 1989, Digital differentiating filters and model based fault detection: Ph.D. thesis, UPPSALA, Faculty of Science, Sweeden.
Crisafulli, S., and Medhurst, T., December 1992, Robust on-line digital differentiation with an application to underground coal mining: , Proceedings of IFAC World Congress 1993, 295-298.
Follington, I., R.Trueman, and Medhurst, T., July 1992, Continuous monitoring of mechanised breaker line supports to investigate roof and pillar behaviour: , Proceedings of the 11th International Conference on Ground Control in Mining, 345-350.

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Article Type: Research Article

Keyword(s): digital differentiation; estimation theory; Kalman filtering

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