Fault Diagnosis of Aero-engine Based on Support Vector Machines

机译：基于支持向量机的航空发动机故障诊断

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The aero-engine has a complex structure, with little and nonlinear fault data, in this paper, it shows a type of fault diagnosis approach based on Support Vector Machine (SVM) combining the characteristic of aero-engine fault data. In addition, during the Directed Acyclic Grap~([1]) multiclass classify algorithm, firstly computing the Class Mean Value'21 of example data, then get the classify priority level of fault type, construct the multiclass classify machine with the type of binary tree according to priority level. Under test, the approach is reasonable, and has better diagnosis speed and accuracy comparing with other classifying methods.

机译：空气发动机具有复杂的结构，具有很少和非线性故障数据，本文显示了一种基于支持向量机（SVM）的故障诊断方法，组合Aero-Engine故障数据的特性。另外，在指向的accclic grap〜（[1]）多款分类算法期间，首先计算示例数据的均值均值'21，然后获取对故障类型的分类优先级，构造具有二进制类型的多栏分类机器树根据优先级。在测试中，该方法是合理的，与其他分类方法相比，具有更好的诊断速度和准确性。

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《International institute of statistics and management engineering symposium》|2010年||共4页
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CHEN Mingzhu; HUANG Min;
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正文语种
中图分类统计学;
关键词
fault diagnosis; support vector machine; multiclass classify;

机译：故障诊断;支持向量机;多牌分类;

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1. Aero-engine Gas Path Fault Diagnosis Based on Improved Support Vector Machine and Synergetic Neural Network [J] . Xiuyan Wang, Cuifang Li, Zongshuai Li Journal of information and computational science . 2014,第10期

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2. Aero-Engine Fault Diagnosis Using Improved Local Discriminant Bases and Support Vector Machine [J] . JianweiCui, MengxiaoShan, RuqiangYan, Mathematical Problems in Engineering: Theory, Methods and Applications . 2014,第a期

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3. Comparison of RBF Neural Network and Support Vector Machine on Aero-engine Vibration Fault Diagnosis [J] . Kai Xiong, DongXiang Jiang, YongShan Ding, Key Engineering Materials . 2007,第期

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4. Aero-Engine Bearing Fault Diagnosis Model Based on Optimizing Cost-Sensitive Support Vector Machine [C] . Dawei He, Jinhai Hu, Tenghui LI, Prognostics and System Health Management Conference . 2017

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5. A Bayesian least squares support vector machines based framework for fault diagnosis and failure prognosis. [D] . Khawaja, Taimoor Saleem. 2010

机译：基于贝叶斯最小二乘支持向量机的框架，用于故障诊断和故障预测。
6. A Personalized Diagnosis Method to Detect Faults in a Bearing Based on Acceleration Sensors and an FEM Simulation Driving Support Vector Machine [O] . Xiaoyang Liu, Haizhou Huang, Jiawei Xiang 2020

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7. Fault Diagnosis for Aero-engine Applying a New Multi-class Support Vector Algorithm [O] . XU Qi-hua, SHI Jun 2006

机译：应用新的多类支持向量算法的航空发动机故障诊断

Fault Diagnosis of Aero-engine Based on Support Vector Machines

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