The change detection and segmentation methods have gained considerable attention in
scientific research and appear to be the central issue in various application areas. The …

Reliable seismic waves characterization is essential for better understanding wave
propagation phenomena, providing new physical insight into soil properties. Many works in …

In the paper a novel automatic seismic signal segmentation procedure is proposed. This
procedure is motivated by analysis of real seismic vibration signals acquired in an …

Reliable characterization of different signals is essential for better understanding of their
generating and propagation phenomena. Many works in this area have been based on …

Many real-world systems change their parameters during the operation. Thus, before the
analysis of the data, there is a need to divide the raw signal into parts that can be considered …

The paper presents a new algorithm for automatic segmentation of seismic signal. This
segmentation relies on the observation of changes in the signal spectrum structure based …

For many real data, long term observation consists of different processes that coexist or
occur one after the other. Those processes very often exhibit different statistical properties …

In the paper the long-term temperature data from LHD (load, haul, dump) machine from
underground copper ore mine are analyzed. The main problem is to detect the moment …

Seismic events are phenomena which commonly occur in the mining industry. Due to their
dangerous character, such information as the energy of the potential event, the location of …

In this paper, we discuss the problem of the structure break point detection for data with
changing variance. Considering the limitations and advantages of five well-known …