Assessment of background noise properties in time and time–frequency domains in the context of vibration-based local damage detection in real environment
Any measurement in condition monitoring applications is associated with disturbing noise.
Till now, most of the diagnostic procedures have assumed the Gaussian distribution for the …
Till now, most of the diagnostic procedures have assumed the Gaussian distribution for the …
Informative frequency band selection in the presence of non-Gaussian noise–a novel approach based on the conditional variance statistic with application to bearing …
In this paper a novel approach to local damage detection in the presence of non-Gaussian
impulsive noise is introduced. The proposed approach is applied to bearing damage …
impulsive noise is introduced. The proposed approach is applied to bearing damage …
Selection of the informative frequency band in a bearing fault diagnosis in the presence of non-gaussian noise—comparison of recently developed methods
The vibration signals acquired on machines usually have complex spectral structure. As the
signal of interest (SOI) is weak (especially at an early stage of damage) and covers some …
signal of interest (SOI) is weak (especially at an early stage of damage) and covers some …
Infogram performance analysis and its enhancement for bearings diagnostics in presence of non-Gaussian noise
Local damage detection in rotating machines is a well-established field of study, however,
some new challenges have recently appeared. They are associated with the presence of …
some new challenges have recently appeared. They are associated with the presence of …
A novel robust Student's t-based Granger causality for EEG based brain network analysis
Granger-causality-based brain network analysis has been widely applied in EEG-based
neuroscience researches and clinical diagnoses, such as motor imagery emotion analysis …
neuroscience researches and clinical diagnoses, such as motor imagery emotion analysis …
CVRgram for demodulation band determination in bearing fault diagnosis under strong gear interference
P Wang, D Zhao, D Liu, L Cui - Journal of Dynamics, Monitoring …, 2022 - ojs.istp-press.com
Fault-related resonance frequency band extraction-based demodulation methods are widely
used for bearing diagnostics. However, due to the high peaks of strong gear meshing …
used for bearing diagnostics. However, due to the high peaks of strong gear meshing …
Applications of robust statistics for cyclostationarity detection in non-Gaussian signals for local damage detection in bearings
Signals with periodic characteristics are ubiquitous in real-world applications. One of these
areas is condition monitoring, where the vibration signals from rotating machines naturally …
areas is condition monitoring, where the vibration signals from rotating machines naturally …
Dependency measures for the diagnosis of local faults in application to the heavy-tailed vibration signal
J Nowicki, J Hebda-Sobkowicz, R Zimroz… - Applied Acoustics, 2021 - Elsevier
The extraction of the informative frequency band from the signal with heavy-tailed noise is
introduced to detect local damage. The algorithm for the vibration signal from a bearing …
introduced to detect local damage. The algorithm for the vibration signal from a bearing …
A simple condition monitoring method for gearboxes operating in impulsive environments
Reliable condition indicators are necessary to perform effective diagnosis and prognosis.
However, the vibration signals are often corrupted with non-Gaussian noise and rotating …
However, the vibration signals are often corrupted with non-Gaussian noise and rotating …
Local defect detection in bearings in the presence of heavy-tailed noise and spectral overlapping of informative and non-informative impulses
J Nowicki, J Hebda-Sobkowicz, R Zimroz… - Sensors, 2020 - mdpi.com
The problem of the informative frequency band (IFB) selection for local fault detection is
considered in the paper. There are various approaches that are very effective in this issue …
considered in the paper. There are various approaches that are very effective in this issue …