A Self-adaptive CS Algorithm and Its Application in Fault Diagnosis of Wind Turbine Gearboxes
Aiming at the problems of premature convergence of cuckoo search algorithm and difficulty in effectively identifying the fault modes of wind turbine gearboxes, an intelligent diagnosis technology based on BP neural network trained by the self-adaptive cuckoo search (SaCS-BP) algorithm is proposed. B...
Saved in:
Main Authors: | Xiong Yan, Zou Ziming, Cheng Jiatang, Duan Zhimei |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Transmission
2023-01-01
|
Series: | Jixie chuandong |
Subjects: | |
Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.01.019 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fault Diagnosis of Wind Turbine Gearbox based on EEMD Wavelet Threshold Denoising and CS-BP Neural Network
by: Wang Hongjun, et al.
Published: (2019-01-01) -
Fault Diagnosis of Wind Turbine Gearbox Under Nonstationary Condition based on Order Analysis
by: Dengli Zhao, et al.
Published: (2020-12-01) -
Fault Diagnosis of Wind Turbine Gearbox based on Signal Model and Order Analysis
by: Jiabin Tian, et al.
Published: (2022-02-01) -
Bearing Fault Diagnosis based on ACSBP Algorithm
by: Cheng Jiatang, et al.
Published: (2017-01-01) -
RESEARCH ON FAULT DIAGNOSIS OF WIND TURBINE PLANETARY GEARBOX UNDER VARIABLE SPEED
by: CUI Cheng, et al.
Published: (2022-01-01)