1 citations · 1 across the 2 of their papers we have counts for
3 papers
Robust correlation measures for informative frequency band selection in heavy-tailed vibration signal
Justyna Hebda-Sobkowicz, Radosław 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…
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks
Govind Vashishtha, Sumika Chauhan, Mert Sehri +4
The growing complexity of machinery and the increasing demand for operational efficiency and safety have driven the development of advanced fault diagnosis techniques. Among these,…
Non-negative tensor factorization-based dependence map analysis for local damage detection in presence of non-Gaussian noise
Anna Michalak, Justyna Hebda-Sobkowicz, Anil Kumar +3
The time-frequency map (TFM) is frequently used in condition monitoring, necessitating further processing to select an informative frequency band (IFB) or directly detect damage. H…