[HTML][HTML] Combination of principal component analysis and time-frequency representations of multichannel vibration data for gearbox fault detection

J Wodecki, P Stefaniak, J Obuchowski… - Journal of …, 2016 - extrica.com
A multichannel vibration data processing method in the context of local damage detection in
gearboxes is presented in this paper. The purpose of the approach is to achieve more …

[HTML][HTML] Application of alpha-stable distribution approach for local damage detection in rotating machines

G Żak, A Wyłomańska, R Zimroz - Journal of Vibroengineering, 2015 - extrica.com
In this paper a novel method for informative frequency band selection for local damage
detection is presented. Local damage in bearings/gearbox provides specific vibration …

Identification of cyclic components in presence of non-Gaussian noise–application to crusher bearings damage detection

J Obuchowski, R Zimroz, A Wylomanska - Journal of Vibroengineering, 2015 - extrica.com
In this paper an issue of local damage detection in a rolling element bearing is discussed.
The bearing operates in a hummer crusher, thus the vibration signal acquired on the …

[HTML][HTML] Data-driven vibration signal filtering procedure based on the α-stable distribution

G Żak, A Wyłomańska, R Zimroz - Journal of Vibroengineering, 2016 - extrica.com
A novel procedure for data-driven enhancement of informative signal is presented in this
paper. The introduced methodology covers decomposition of the signal via time-frequency …

Data‐Driven Iterative Vibration Signal Enhancement Strategy Using Alpha Stable Distribution

G Żak, A Wyłomańska, R Zimroz - Shock and Vibration, 2017 - Wiley Online Library
The authors propose a novel procedure for enhancement of the signal to noise ratio in
vibration data acquired from machines working in mining industry environment. Proposed …

An adaptive operational modal analysis method using encoder LSTM with random decrement technique

M Qin, H Chen, R Zheng, T Gao - Journal of Sensors, 2021 - Wiley Online Library
A new parameter identification method under non‐white noise excitation using transformer
encoder and long short‐term memory networks (LSTMs) is proposed in the paper. In this …

An Adaptive Operational Modal Analysis under Non-White Noise Excitation Using Hybrid Neural Networks

M Qin, H Chen, R Zheng, X He, S Ren - Applied Sciences, 2022 - mdpi.com
To adaptively identify the modal parameters for time-invariant structures excited by non-
white noise, this paper proposes a new operational modal analysis (OMA) method using …

[HTML][HTML] Combination of ICA and time-frequency representations of multichannel vibration data for gearbox fault detection

J Wodecki, P Stefaniak, J Obuchowski… - Vibroengineering …, 2015 - extrica.com
In the paper a multichannel vibration data processing method is presented in the context of
local damage detection in gearboxes. The purpose of the approach is to obtain more …

Local damage detection methods based on the stochastic modeling techniques

G Żak, A Wyłomańska, R Zimroz - 2016 24th Mediterranean …, 2016 - ieeexplore.ieee.org
Problem of selection of informative frequency band (IFB) for local damage detection using
vibration signal is often discussed in the literature. One of the approaches used in this …

BELT CONVEYOR DIAGNOSTICS-DAMAGE DETECTION BASED ON MULTIVARIATE DATA ANALYSIS

P Kruczek, J Obuchowski, R Zimroz… - International …, 2016 - search.proquest.com
Belt conveyors are crucial machines involved in ore transportation from the dumping point to
the shaft. Because of that, their trouble-free operation has indisputable impact on the overall …