Application and optimization of entropy in diagnosis for agricultural machinery bearing fault

Bian Jun; Jing Laixing; Liu Yanqiu

doi:10.1117/12.2657245

18 October 2022 Application and optimization of entropy in diagnosis for agricultural machinery bearing fault

Bian Jun, Jing Laixing, Liu Yanqiu

Proceedings Volume 12349, International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022); 123490J (2022) https://doi.org/10.1117/12.2657245
Event: International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022), 2022, Zhengzhou, China

Abstract

Rolling bearing is the most central function unit in rotating agricultural mechanical equipment, it is vulnerable to damage in operation because of complex working environment, Therefore bearing fault diagnosis and stateful inspection technology has become research focus of rotary agricultural machines in the present age. entropy theory provides a measure for the complexity and randomness of vibration signals and is widely used in bearing fault diagnosis. This paper summarizes the origin, application and development of entropy theory and the future development direction is prospected.

Citation Download Citation

Bian Jun, Jing Laixing, and Liu Yanqiu "Application and optimization of entropy in diagnosis for agricultural machinery bearing fault", Proc. SPIE 12349, International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022), 123490J (18 October 2022); https://doi.org/10.1117/12.2657245

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available