Paper Info
Title
Study On Unified Chaotic System-Based Wind Turbine Blade Fault Diagnostic System
Abstract
At present, vibration signals are processed and analyzed mostly in the frequency domain. The spectrum clearly shows the signal structure and the specific characteristic frequency band is analyzed, but the number of calculations required is huge, resulting in delays. Therefore, this study uses the characteristics of a nonlinear system to load the complete vibration signal to the unified chaotic system, applying the dynamic error to analyze the wind turbine vibration signal, and adopting extenics theory for artificial intelligent fault diagnosis of the analysis signal. Hence, a fault diagnostor has been developed for wind turbine rotating blades. This study simulates three wind turbine blade states, namely stress rupture, screw loosening and blade loss, and validates the methods. The experimental results prove that the unified chaotic system used in this paper has a significant effect on vibration signal analysis. Thus, the operating conditions of wind turbines can be quickly known from this fault diagnostic system, and the maintenance schedule can be arranged before the faults worsen, making the management and implementation of wind turbines smoother, so as to reduce many unnecessary costs.
Year
DOI
Venue
2015
10.1142/S021812741550042X
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
Keywords
DocType
Volume
Chaos synchronization system, wind turbine, extension theory
Journal
25
Issue
ISSN
Citations 
3
0218-1274
2
PageRank 
References 
Authors
0.40
7
4
Name
Order
Citations
PageRank
Ying-Che Kuo1314.07
Chin-Tsung Hsieh2224.71
Her-Terng Yau39219.07
Yu-Chung Li4142.04