3 papers
eess.SP2026
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…
eess.SP2025
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…
cs.LG2025
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,…