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用于振动结构故障检测与识别的时间序列方法。

Time-series methods for fault detection and identification in vibrating structures.

作者信息

Fassois Spilios D, Sakellariou John S

机构信息

Stochastic Mechanical Systems (SMS) Group, Department of Mechanical & Aeronautical Engineering, University of Patras, GR 265 00 Patras, Greece.

出版信息

Philos Trans A Math Phys Eng Sci. 2007 Feb 15;365(1851):411-48. doi: 10.1098/rsta.2006.1929.

Abstract

An overview of the principles and techniques of time-series methods for fault detection, identification and estimation in vibrating structures is presented, and certain new methods are introduced. The methods are classified, and their features and operation are discussed. Their practicality and effectiveness are demonstrated through brief presentations of three case studies pertaining to fault detection, identification and estimation in an aircraft panel, a scale aircraft skeleton structure and a simple nonlinear simulated structure.

摘要

本文概述了用于振动结构故障检测、识别和估计的时间序列方法的原理和技术,并介绍了一些新方法。对这些方法进行了分类,并讨论了它们的特点和操作。通过简要介绍与飞机面板、模型飞机骨架结构和简单非线性模拟结构的故障检测、识别和估计相关的三个案例研究,证明了它们的实用性和有效性。

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