A Study on Crack Fault Diagnosis of Wind Turbine Simulation System

被引：0

作者：

Bae, Keun-Ho ^{[1
]}

Choi, Byung-Oh ^{[1
]}

Park, Jong-Won ^{[1
]}

Kim, Bong-Ki ^{[2
]}

机构：

[1] Korea Inst Machinery & Mat, Reliabil Assessment Ctr, Daejeon, South Korea

[2] Korea Inst Machinery & Mat, Acoust Grp, Daejeon, South Korea

来源：

PROCEEDINGS OF 2014 10TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY (ICRMS), VOLS I AND II | 2014年

关键词：

fault diagnosis; diagnostics; crack; wind-turbine; ANFIS; Support Vector Machine; SVM;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

an experimental gear-box was set-up to simulate the real situation of the wind-turbine. Artificial cracks of different sizes were machined into the gear. Vibration signals were acquired to diagnose the different crack fault conditions. Time-domain features such as root mean square, variance, kurtosis, normalized 6th central moments were used to capture the characteristics of different crack conditions. Normal condition, 1 mm crack condition, 2mm crack condition, 6mm crack condition, and tooth fault condition were compared using ANFIS and DAG-SVM methods, and three different DAG-SVM models were compared. High-pass filtering improved the success rates remarkably in the case of DAG-SVM.

引用

页码：53 / 57

页数：5

共 50 条

[21] Study on Synthesis Fault Diagnosis Strategy of the Brake System of Wind Turbine Based on Evidence Theory
Wang, Zhijie
Liu, Sanming
APPLIED INFORMATICS AND COMMUNICATION, PT III, 2011, 226 : 18 - 25
[22] Emergency Fault Diagnosis for Wind Turbine Nacelle
Pang, Yu
Jia, Limin
Liu, Zhan
Gao, Qianyun
2017 6TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS (DDCLS), 2017, : 202 - 207
[23] Fault diagnosis for wind turbine based on LightGBM
Hu L.
Jiang W.
Li Y.
Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2021, 42 (11): : 255 - 259
[24] Fault diagnosis of variable speed wind turbine
Kahyeh, M. Ainan
Heraud, N.
Guelle, I. Souleiman
Bennouna, O.
18TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, 2010, : 471 - 476
[25] Nonlinear Dynamic Characteristics of Wind Turbine Gear System Caused by Tooth Crack Fault
Xiang, Ling
An, Chaohui
Hu, Aijun
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2021, 31 (10):
[26] A study on intelligence fault diagnosis system of turbine machine
Chen, CZ
Tang, RY
ICEMS 2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1 AND 2, 2003, : 878 - 881
[27] The Fault Diagnosis of Large-Scale Wind Turbine Based on Expert System
Chen, Changzheng
Li, Yun
INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2011), 2011, 8285
[28] An Experimental Study of Sensor-less Fault Diagnosis on Rolling Bearing of Wind Turbine Generator System
Shi, Xianjiang
Zhang, Jiankun
Du, Heng
Zhang, Jingchun
PROCEEDINGS OF THE 2015 INTERNATIONAL POWER, ELECTRONICS AND MATERIALS ENGINEERING CONFERENCE, 2015, 17 : 422 - 426
[29] Fault Diagnosis for Takagi-Sugeno Model Wind Turbine Pitch System
Rodriguez, Jorge Ivan Bermudez
Hernandez-de-Leon, Hector Ricardo
Marin, Juan Anzurez
Santiago, Alejandro Medina
Gomez, Elias Neftali Escobar
Zapata, Betty Yolanda Lopez
Guzman-Rabasa, Julio Alberto
IEEE ACCESS, 2024, 12 : 25296 - 25308
[30] Fault Diagnosis of Wind Turbine Pitch System Based on Multiblock KPCA Algorithm
Yun, Wu
Xin, Hu
IEEE ACCESS, 2021, 9 : 20673 - 20680

← 1 2 3 4 5 →