Robust Digital Differentiation With Application To Coal Mining

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.