Bearing performance degradation assessment based on time-frequency code features and SOM network-Reference-Cited by-同舟云学术

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Bearing performance degradation assessment based on time-frequency code features and SOM network

Published:2017-02-10 Issue:4 Volume:28 Page:045601
ISSN:0957-0233
Container-title:Measurement Science and Technology
language:
Short-container-title:Meas. Sci. Technol.

Author:

Zhang Yan,Tang Baoping,Han Yan,Deng Lei

Funder

Specialized Research Fund for the Doctoral Program of Higher Education (priority development area)

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Link

http://stacks.iop.org/0957-0233/28/i=4/a=045601/pdf

Reference34 articles.

1. A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

2. Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

3. Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

4. A neural network approach for remaining useful life prediction utilizing both failure and suspension histories

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