Health risk assessment and prognosis of gas turbine blades by simulation and statistical methods

机译：基于仿真和统计方法的燃气轮机叶片健康风险评估与预测

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Algorithmic approaches for failure risk assessment, anomaly detection and life prognosis of gas turbine blade are discussed. Modeling of blade tip clearance and Monte Carlo simulation considering creep, vibration and other damaging effects lead to two pro

机译：讨论了燃气轮机叶片故障风险评估，异常检测和寿命预测的算法方法。考虑蠕变，振动和其他破坏性影响的叶尖间隙建模和蒙特卡洛模拟导致两个问题

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《Pulp and Paper Industry Technical Conference, Conference Record of 2006 Annual》|2008年|P.001087-001092|共6页
会议地点 Niagara Falls,ON,Canada
作者
Goel; N.; Kumar; A.; Narasimhan; V.; Nayak; A.; Srivastava; A.;
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Monte Carlo methods; blades; creep; failure (mechanical); gas turbines; regression analysis; remaining life assessment; risk management; vibrations; Monte Carlo simulation; anomaly detection; blade tip clearance; blade tip tolerance limits; creep; failure risk assessm;

机译：蒙特卡洛方法；刀片蠕变;故障（机械）；燃气轮机；回归分析;剩余寿命评估；风险管理;振动蒙特卡罗模拟；异常检测；刀片尖端间隙；刀片尖端公差极限；蠕变;失败风险评估;

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3. Use of Statistical Analysis Methods for Improvement of Quality of Gas Turbine Engine Blades [J] . Zhykov A.A. Литейное　производство. . 1997,第4期

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4. Health Risk Assessment and Prognosis of Gas Turbine Blades by Simulation and Statistical Methods [C] . N. Goel, A. Kumar, V. Narasimhan, Canadian Conference on Electrical and Computer Engineering . 2008

机译：模拟和统计方法健康风险评估及燃气轮机叶片预后
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机译：统计方法在燃气轮机叶片失效研究中的应用

Health risk assessment and prognosis of gas turbine blades by simulation and statistical methods

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