[HTML][HTML] Optimization of the load capacity system of powered roof support: a review

D Szurgacz, B Borska, S Zhironkin, R Diederichs… - Energies, 2022 - mdpi.com
Powered roof support is equipped with a hydraulic control system to ensure its required load
capacity. The main problem arising from powered roof support during exploitation is …

Using long-term condition monitoring data with non-Gaussian noise for online diagnostics

H Shiri, P Zimroz, J Wodecki, A Wyłomańska… - … Systems and Signal …, 2023 - Elsevier
The number of timely diagnoses based on condition monitoring data is increasing with the
growing usage of monitoring systems. In most of the methods used in these systems, a pre …

[HTML][HTML] Data-driven segmentation of long term condition monitoring data in the presence of heavy-tailed distributed noise with finite-variance

H Shiri, P Zimroz, J Wodecki, A Wyłomańska… - … Systems and Signal …, 2023 - Elsevier
Machinery condition prognosis systems use long-term historical data to predict the
remaining useful life (RUL). One of the critical steps to reach this purpose is to segment long …

Impact and assessment of suspension stiffness on vibration propagation into vehicle

R Burdzik - Sensors, 2023 - mdpi.com
The impact of transport-induced vibrations on people is a particularly important problem.
Sudden or intensifying vibration phenomena of a local nature may compromise safety …

Estimation of machinery's remaining useful life in the presence of non-Gaussian noise by using a robust extended Kalman filter

H Shiri, P Zimroz, A Wyłomańska, R Zimroz - Measurement, 2024 - Elsevier
Estimation of the remaining useful life (RUL) of industrial machinery is essential for condition-
based maintenance (CBM). While numerous papers have explored this issues, challenges …

A procedure for assessing of machine health index data prediction quality

D Kuzio, R Zimroz, A Wyłomańska - Measurement, 2025 - Elsevier
The paper discusses the challenge of evaluating the prognosis quality of machine health
index (HI) data. Many existing solutions in machine health forecasting involve visual …

Novelty detection for long-term diagnostic data with Gaussian and non-Gaussian disturbances using a support vector machine

F Moosavi, H Shiri, G Vashishtha… - Measurement …, 2024 - iopscience.iop.org
In condition monitoring lack of properly balanced data sets with faulty and healthy cases
makes proper condition recognition very challenging. In many cases, one may have good …

Robust switching Kalman filter for diagnostics of long-term condition monitoring data in the presence of non-Gaussian noise

H Shiri, J Wodecki, R Zimroz - IOP Conference Series: Earth and …, 2023 - iopscience.iop.org
Machinery condition prognosis system uses long-term historical data to predict remaining
useful life (RUL). One of the critical steps to reach this purpose is to segment long-term data …

Enhancing patent text classification with Bi-LSTM technique and alpine skiing optimization for improved diagnostic accuracy

J Wang, L Wang, N Ji, Q Ding, F Zhang, Y Long… - Multimedia Tools and …, 2024 - Springer
Currently, technological innovation has been increasingly valued by companies around the
world, and patents as an important recording medium of innovation show a tendency for …

Enhancing Supervised-Learning Fault Classification of Permanent Magnet Synchronous Motors with Feature Selections

T Ahamed, TP Nguyen, HN Du Nguyen… - 2024 Tenth …, 2024 - ieeexplore.ieee.org
Inter turn short circuit (ITSC) faults in the permanent magnet synchronous motors (PMSMs)
using applied signal processing methods might not be detected at low severities or in early …