Sparse filtering based domain adaptation for mechanical fault diagnosis
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.049
Abstract: Abstract Recently, machine learning has achieved considerable success in the field of mechanical fault diagnosis. Nevertheless, in many real-world applications, the original vibration data usually collected under different work conditions which lead to large distribution… read more here.
Keywords: sparse filtering; mechanical fault; domain adaptation; fault diagnosis ... See more keywords
An enhanced sparse filtering method for transfer fault diagnosis using maximum classifier discrepancy
Sign Up to like & getrecommendations! Published in 2021 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/abe56f
Abstract: The speed of rotating parts is often affected by different working conditions in mechanical equipment, which results in more complications in the feature mapping relationship. However, existing methods that address the large fluctuation problem in… read more here.
Keywords: maximum classifier; fault; enhanced sparse; sparse filtering ... See more keywords
Combining Spatial Filtering and Sparse Filtering for Coaxial-Moving Sound Source Separation, Enhancement and Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2900229
Abstract: The wayside acoustic detector system is a potential technique in ensuring the safety of traveling vehicles. However, multisource aliasing and Doppler distortion in acquired acoustic signals decrease the accuracy of machine diagnosis. The conventional multisource… read more here.
Keywords: spatial filtering; sound source; filtering sparse; coaxial moving ... See more keywords