Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy

no code implementations • 19 Mar 2024 • Govind Vashishtha, Sumika Chauhan, Surinder Kumar, Rajesh Kumar, Radoslaw Zimroz, Anil Kumar

Therefore it becomes necessary to develop a robust fault diagnosis scheme for worm gearbox.

An Adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis

no code implementations • 19 Mar 2024 • Sumika Chauhan, Govind Vashishtha, Rajesh Kumar, Radoslaw Zimroz, Pradeep Kundu

Initially, the artificial hummingbird algorithm (AHA) is used to make the feature mode decomposition (FMD) adaptive by optimizing its parameter based on a newly developed health indicator (HI) i. e. sparsity impact measure index (SIMI).

Bearing damage detection with orthogonal and non-negative low-rank feature extraction

no code implementations • 19 Mar 2024 • Mateusz Gabor, Rafal Zdunek, Agnieszka Wylomanska, Radoslaw Zimroz

Local damage of bearings can be detected as a weak cyclic and impulsive component in a highly noisy measured signal.

Non-negative tensor factorization for vibration-based local damage detection

no code implementations • 19 Mar 2024 • Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Jacek Wodecki, Agnieszka Wylomanska

In this study, a novel non-negative tensor factorization (NTF)-based method for vibration-based local damage detection in rolling element bearings is proposed.

Non-negative matrix underapproximation as optimal frequency band selector

no code implementations • 19 Mar 2024 • Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska

NMF applied to the spectrogram allows one to find an informative frequency band, which could be further used as a filter characteristic.