A novel improved full vector spectrum algorithm and its application in multi-sensor data fusion for hydraulic pumps-Reference-Cited by-同舟云学术

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A novel improved full vector spectrum algorithm and its application in multi-sensor data fusion for hydraulic pumps

Published:2019-02 Issue: Volume:133 Page:145-161
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Yu He,Li Hongru,Li Yaolong,Li Yifan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference45 articles.

1. A multi-source information fusion fault diagnosis for aviation hydraulic pump based on the new evidence similarity distance;Lu;Aerosp. Sci. Technol.,2017

2. Remaining useful life prediction based on the wiener process for an aviation axial piston pump;Wang;Chin. J. Aeronaut.,2016

3. Motor bearing fault detection using spectral kurtosis-based feature extraction coupled with k-nearest neighbor distance analysis;Tian;IEEE Trans. Ind. Electron.,2016

4. Degradation feature extraction of the hydraulic pump based on high-frequency harmonic local characteristic-scale decomposition sub-signal separation and discrete cosine transform high-order singular entropy;Sun;Adv. Mech. Eng.,2016

5. Planetary gears feature extraction and fault diagnosis method based on VMD and CNN;Liu;Sensors,2018

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