Basic research on machinery fault diagnostics: Past, present, and future trends
Machinery fault diagnosis has progressed over the past decades with the evolution of
machineries in terms of complexity and scale. High-value machineries require condition …
machineries in terms of complexity and scale. High-value machineries require condition …
Bearings in aerospace, application, distress, and life: a review
Despite enormous research, material, and manufacturing advancements in bearings, these
continue to fail in critical aerospace applications. Material and processing aspects of …
continue to fail in critical aerospace applications. Material and processing aspects of …
Kurtosis based weighted sparse model with convex optimization technique for bearing fault diagnosis
The bearing failure, generating harmful vibrations, is one of the most frequent reasons for
machine breakdowns. Thus, performing bearing fault diagnosis is an essential procedure to …
machine breakdowns. Thus, performing bearing fault diagnosis is an essential procedure to …
Shovel-loading cooperative control of loader under typical working conditions
B Cao, C Liu, W Chen, P Tan, J Yang - ISA transactions, 2023 - Elsevier
The difference in power demand and the driver's operation in various operation stages make
the loader have the problem of low energy utilization. Changeable operating objects and …
the loader have the problem of low energy utilization. Changeable operating objects and …
Synthesis versus analysis priors via generalized minimax-concave penalty for sparsity-assisted machinery fault diagnosis
Sparse priors for signals play a key role in sparse signal modeling, and sparsity-assisted
signal processing techniques have been studied widely for machinery fault diagnosis. In this …
signal processing techniques have been studied widely for machinery fault diagnosis. In this …
GMPSO-VMD algorithm and its application to rolling bearing fault feature extraction
J Ding, L Huang, D ** distortion or even approximately …