Aircraft Fault Detection and Identification Using the Aerodynamic Model

Annop Ruangwiset; Akira Sakurai

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Aircraft Fault Detection and Identification Using the Aerodynamic Model

机译：使用空气动力学模型的飞机故障检测与识别

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A fault on the aircraft such as damaged or lost control surfaces is the severe problem for the flight control system. The faster the fault can be detected and identified, the higher will be the probability that the vehicle can be saved. This paper presents a new approach using the serodynamic model to detect and identify this kinds of faults. The simulations have shown remarkable capabilities of this method.

机译：飞机上的故障，例如损坏的控制面或丢失的控制面，是飞行控制系统的严重问题。可以更快地检测和识别故障，可以节省车辆的可能性就越高。本文提出了一种使用血清动力学模型检测和识别此类故障的新方法。仿真显示了该方法的卓越功能。

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《九州大学工学集報》 |2000年第3期|p.243-246|共4页
作者
Annop Ruangwiset; Akira Sakurai;
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正文语种 eng
中图分类工业技术;
关键词
fault detection and identification; aerodynamic model;

机译：故障检测与识别;空气动力学模型;

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专利

1. Aircraft Fault Detection and Identification Using the Aerodynamic Model [J] . Annop Ruangwiset, Akira Sakurai 九州大学工学集報 . 2000,第3期

机译：使用空气动力学模型的飞机故障检测与识别
2. Aircraft Damage Detection and Identification Using the Aerodynamic Model [J] . Annop RUANGWISET, Akira SAKURAI Memoirs of the Faculty School of Engineering, Kyushu University . 2000,第2期

机译：使用空气动力学模型的飞机损伤检测与识别
3. Aircraft fault detection and identification by stochastic functionally pooled modelling of relationships among attitude data [J] . D G Dimogianopoulos, J D Hios, S D Fassois Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering . 2008,第6期

机译：通过姿态数据之间关系的随机功能池建模对飞机故障进行检测和识别
4. STATISTICAL FAULT DETECTION AND IDENTIFICATION IN AIRCRAFT SYSTEMS VIA FUNCTIONALLY POOLED NONLINEAR MODELLING OF FLIGHT DATA DEPENDENCIES [C] . Dimitrios G. Dimogianopoulos, John D. Hios, Spilios D. Fassois Congress of the International Council of the Aeronautical Sciences . 2006

机译：飞行数据依赖性功能汇总非线性建模飞机系统统计故障检测与识别
5. MAXIMUM LIKELIHOOD IDENTIFICATION OF AIRCRAFT PARAMETERS WITH UNSTEADY AERODYNAMIC MODELLING. [D] . KESKAR, DINESH ACHYUT. 1979

机译：具有非定常气动模型的飞机参数的最大似然识别。
6. Aircraft Aerodynamic Parameter Detection Using Micro Hot-Film Flow Sensor Array and BP Neural Network Identification [O] . Ruiyi Que, Rong Zhu 2012

机译：微型热膜流量传感器阵列和BP神经网络识别的飞机气动参数检测
7. Vibration based fault detection and identification in an aircraft skeleton structure via a stochastic functional model based method [O] . J. S. Sakellariou, S. D. Fassois 2008

机译：基于随机功能模型的飞机骨架结构基于振动的故障检测与识别
8. Identifiability of Bias-Type Actuator-Sensor Faults in Multiple-Model-Based Fault Detection and Identification. [R] . Joshi, S. M. 2012

机译：基于多模型的故障检测与识别中偏置式执行器 - 传感器故障的可识别性。

Aircraft Fault Detection and Identification Using the Aerodynamic Model

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