WebApr 25, 2024 · Yu X, Chen W, Wu C, et al. Rolling bearing fault diagnosis based on domain adaptation and preferred feature selection under variable working conditions. … WebApr 7, 2024 · Finally, two groups of experimental data are used to verify the effectiveness of the method, and the recognition accuracy was 99% and 97%, respectively. Therefore, this method can effectively characterize the difference characteristics of different signals and achieve the final bearing fault diagnosis.
Sensors Free Full-Text Bearing Fault Diagnosis of Induction …
WebNov 19, 2024 · The rolling bearing fault diagnosis methods in the early days mostly used signal decomposition and transformation technology to extract fault features manually, such as empirical mode decomposition [ 1] and wavelet packet transform [ 2 ]. WebMar 3, 2024 · Recently, research on data-driven bearing fault diagnosis methods has attracted increasing attention due to the availability of massive condition monitoring data. … dirt track racing tires for sale
Sensors Free Full-Text Bearing Fault Diagnosis …
WebApr 13, 2024 · Wang Z, Zhou J, Du W, et al. Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution. Mech Syst Sig Process 2024; 162: 108018. Crossref. Google Scholar. 17. Lü X, Hu Z, Zhou H, et al. Compound fault diagnosis method for gear bearing based on adaptive maximum correlated kurtosis deconvolution. WebApr 22, 2024 · However, bearing fault diagnosis during various working conditions is challenging; catastrophic forgetting occurs when test data are gathered under different conditions. In this paper, we develop an incremental learning-based multi-task shared classifier (IL-MTSC) for bearing fault diagnosis under various conditions. fosters ice cream willoughby hills ohio