Defect identification of fan blade based on adaptive parameter region growth algorithm
Abstract China’s wind power generation is rich in resources and mature technology, but has the problems of harsh power generation environment, high operation and maintenance costs due to complex operating conditions, and serious consequences of failures. For this reason, this paper proposes a more e...
Saved in:
Main Authors: | Wang Yifan, Wang Xueyao, Yang Dongmei, Ru Xinqin, Zhang Yuxin |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-85031-6 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Examination Of The Relationship Between The Identification Levels And Aggression Levels Of The Fans; Example Of Alanyaspor Fans
by: Yasemin Karademir, et al.
Published: (2020-09-01) -
ANALYSIS AND TEST OF COMBINED FATIGUE LOADING SYSTEM OF CERTAIN ENGINE FAN BLADE
by: TANG Ling, et al.
Published: (2018-01-01) -
FATIGUE CHARACTERISTICS OF CERTAIN ENGINE FAN BLADE UNDER HIGH-LOW CYCLE COMBINED LOADING
by: TANG Ling, et al.
Published: (2016-01-01) -
Fan Blade Crack Detection Algorithm Based on Multi-Scale Feature Fusion
by: Yongjun Qi, et al.
Published: (2025-01-01) -
The Virtual Meets the Real in Sports World: Is There a Circular Effect Between Traditional Sports and eSports Fan Identification?
by: Andre Ferreira Gavinho Cardoso, et al.
Published: (2023-01-01)