首页> 外国专利> Method of determining condition of a turbine blade, and utilizing the collected information for estimation of the lifetime of the blade

Method of determining condition of a turbine blade, and utilizing the collected information for estimation of the lifetime of the blade

机译：确定涡轮机叶片状态并利用收集的信息估算叶片寿命的方法

页面导航

摘要
著录项
相似文献

摘要

A method for determining the condition of a turbine blade (2, 4) in a compressor and utilizing the collected information in an estimation of the lifetime of the turbine blade (2, 4), whereby a measured value reflecting the condition of the turbine blade (2, 4) is generated by a vibration sensitive sensor (10) connected to the compressor's (1) casing (6).

机译：一种确定压缩机中涡轮叶片（ 2，4 ）的状态并利用收集的信息估算涡轮叶片（ 2，4 ）寿命的方法>），从而通过连接到压缩机的压缩机（ 10）的振动敏感传感器（ 10 ）生成反映涡轮叶片（ 2，4 ）状态的测量值。 > 1 ）框（ 6 ）。 展开▼

著录项

公开/公告号US7580802B2

专利类型

公开/公告日2009-08-25

原文格式PDF

申请/专利权人 LYDER MOEN;
展开▼

申请/专利号US20050522692

发明设计人 LYDER MOEN;
展开▼

申请日2003-07-30

分类号G06F19/00;

国家 US

入库时间 2022-08-21 19:31:51

相似文献

专利

外文文献

中文文献

1. 用于确定风力涡轮机转子叶片的污染状态的系统和方法 [P] . 中国专利： CN110537019A . 2019-12-03

2. 用于确定作为用于轴流式涡轮机的旧叶片的替换件的替换叶片的轮廓的方法 [P] . 中国专利： CN103781995B . 2015.09.16

3. METHOD AND DEVICE FOR DETERMINATION OF THE CONDITION OF A TURBINE BLADE, AND UTILIZING THE COLLECTED INFORMATION FOR ESTIMATION OF THE LIFETIME OF THE BLADE [P] . 欧洲知识产权局专利： EP1547023B1 . 2008-02-20

机译：确定涡轮叶片状况并利用收集的信息估算叶片寿命的方法和装置

4. Method and device for determination of the condition or a turbine blade, and utilizing the collected information for estimation of the lifetime of the blade [P] . 美国专利： US2006074568A1 . 2006-04-06

机译：用于确定状况或涡轮机叶片并利用所收集的信息来估计叶片寿命的方法和装置

5. METHOD AND DEVICE FOR DETERMINATION OF THE CONDITION OF A TURBINE BLADE, AND UTILIZING THE COLLECTED INFORMATION FOR ESTIMATION OF THE LIFETIME OF THE BLADE [P] . 欧洲知识产权局专利： EP1547023A1 . 2005-06-29

机译：确定涡轮叶片状况并利用收集的信息估算叶片寿命的方法和装置

1. Hashin Failure Theory Based Damage Assessment Methodology of Composite Tidal Turbine Blades and Implications for the Blade Design [J] . YU Guo-qing, REN Yi-ru, ZHANG Tian-tian, 中国海洋工程（英文版） . 2018,第002期

2. Modeling Methods and Test Verification of Root Insert Contact Interface for Wind Turbine Blade [J] . Li Hui, Wang Tongguang 南京航空航天大学学报（英文版） . 2016,第001期

3. A Study on Relationship among Blade Camber Direction and Pitch Angle and Performance of a Small Straight-Blade Darrieus Wind Turbine by Using Scale Test Model and Gurney Flap [J] . Tadakazu Tanino, Keisuke Hara, Ryo Yoshihara, 流量控制、测量及可视化（英文） . 2021,第002期

4. Improvement of turbine blade lifetime assessment by more accurate estimation of the thermal boundary conditions: [J] . Cristhian Maravilla Herrera, Sergiy Yepifanov, Igor Loboda Advances in Mechanical Engineering . 2017,第4期

5. A NEW METHOD FOR DETERMINING THE REMAINING LIFETIME OF COATED GAS-TURBINE BLADES [J] . Leonid Borisovich Getsov, P. G. Krukovski, N .V. Mozaiskaja Materiali in Tehnologije . 2011,第1期

6. Evaluation of different methods for determining the angle of attack on wind turbine blades with CFD results under axial inflow conditions [J] . Rahimi H., Schepers J. G., Shen W. Z., Renewable energy . 2018,第SEPa期

7. EFFICIENT LIFETIME PREDICTION OF HIGH PRESSURE TURBINE BLADES IN REAL LIFE CONDITIONS [C] . Marinus Johannus van Enkhuizen, Christian Dresbach, Stefan Reh, ASME turbo expo: turbine technical conference and exposition . 2017

8. Rotor blade operational data analysis methods and applications for condition monitoring of vertical and horizontal axis wind turbines [D] . Kusnick, Joshua. 2012

9. Full-Scale Fatigue Testing of a Wind Turbine Blade in Flapwise Direction and Examining the Effect of Crack Propagation on the Blade Performance [O] . Othman Al-Khudairi, Homayoun Hadavinia, Christian Little, 2017

10. Evaluation of different methods for determining the angle of attack on wind turbine blades with CFD results under axial inflow conditions [O] . Rahimi Hamid, Schepers Gerard, Shen Wen Zhong, 2017

1. Low Cycle Fatigue Life Estimation and Tracking for Industrial Gas Turbine Blades Using Fatigue Factor Approach [J] . Ebigenibo Genuine Saturday ,Thank-God Isaiah . 现代机械工程（英文） . 2018,第2期

2. Comparative Study on Tree Classifiers for Application to Condition Monitoring ofWind Turbine Blade through Histogram Features Using Vibration Signals: A Data-Mining Approach [J] . A.Joshuva ,V.Sugumaran . 结构耐久性与健康监测(英文) . 2019,第4期

3. WJ5AI发动机涡轮叶片应力分析和寿命估算 [C] . 陈火红 . 中国航空学会第五届发动机结构强度振动学术会议 . 1990

4. 基于数据融合的涡轮机叶片振动测量方法研究 [A] . 任三群 . 2017