4 papers
A method for signal components identification in acoustic signal with non-Gaussian background noise using clustering of data in time-frequency domain
A Drewnicka, A Michalak, R Zimroz +3
This paper presents a novel method for fault detection in vibration/acoustic signals contaminated with non-Gaussian noise, specifically addressing the challenge of random impulsive…
Robust correlation measures for informative frequency band selection in heavy-tailed vibration signal
Justyna Hebda-Sobkowicz, RadosÅaw Zimroz, Anil Kumar +1
Vibration signals are commonly used to detect local damage in rotating machinery. However, raw signals are often noisy, particularly in crusher machines, where the technological pr…
Identification of fault frequency variation in the envelope spectrum in the vibration-based local damage detection in possible changing load/speed conditions
Daniel Kuzio, RadosÅaw Zimroz, Agnieszka WyÅomaÅska
The problem of local damage diagnosis (based on the detection of impulsive and periodic signals) is discussed. Both features should be checked, as fault frequency must be linked to…
Modified Greenwood statistic and its application for statistical testing
Katarzyna Skowronek, Marek Arendarczyk, RadosÅaw Zimroz +1
In this paper, we explore the modified Greenwood statistic, which, in contrast to the classical Greenwood statistic, is properly defined for random samples from any distribution. T…