Multiple measurement vector compressive sampling and fisher score feature selection for fault classification of roller bearings - researchr publication related

researchr

You are not signed in
Sign in
Sign up

H. O. A. Ahmed, Asoke K. Nandi. Multiple measurement vector compressive sampling and fisher score feature selection for fault classification of roller bearings. In 22nd International Conference on Digital Signal Processing, DSP 2017, London, United Kingdom, August 23-25, 2017. pages 1-5, IEEE, 2017. [doi]

The following publications are possibly variants of this publication:

Classification of bearing faults combining compressive sampling, laplacian score, and support vector machineH. O. A. Ahmed, M. L. Dennis Wong, Asoke K. Nandi. iecon 2017: 8053-8058 [doi]

runs on WebDSL