航空多变量异质输入故障诊断模型仿真

Ying Zhang, Di Peng, Gong Meng, Qian Zhao, Tiantian Li
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引用次数: 0

摘要

研究了航空多变量异构输入数据的故障诊断模型。由于陀螺仪强大的非线性映射能力,使其自然适合于建模故障检测,本文结合多种航空陀螺输入数据与故障监测方法,提出了一种不同状态下多元异构输入数据的模型仿真方法,即飞机待机状态下的一维和多维数据故障诊断,以及飞行状态或静止状态下的多传感器故障检测。能够有效地满足航空多异构输入故障诊断管理的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of Fault Diagnosis Model for Managing Aeronautical Multivariate Heterogeneous Inputs
This paper studies the fault diagnosis model of aeronautical multivariate heterogeneous input data. Because of the gyroscope’s powerful nonlinear mapping capabilities, it is a natural fit for modeling failure detection, this article combined with a variety of aviation gyro input data with fault monitoring methods, a model simulation method for multivariate heterogeneous input data in different states is proposed, which are one-dimensional and multi-dimensional data fault diagnosis in the standby state of the aircraft, and multi-sensor fault detection in the flight state or stationary state, which can effectively meet the needs of managing the fault diagnosis of multi-heterogeneous input of aviation.
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