Literature DB >> 17255046

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

Spilios D Fassois1, John S Sakellariou.   

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.

Mesh:

Year:  2007        PMID: 17255046     DOI: 10.1098/rsta.2006.1929

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

1.  Structural Damage Identification Based on AR Model with Additive Noises Using an Improved TLS Solution.

Authors:  Cai Wu; Shujin Li; Yuanjin Zhang
Journal:  Sensors (Basel)       Date:  2019-10-08       Impact factor: 3.576

2.  Structural Health Monitoring for Jacket-Type Offshore Wind Turbines: Experimental Proof of Concept.

Authors:  Yolanda Vidal; Gabriela Aquino; Francesc Pozo; José Eligio Moisés Gutiérrez-Arias
Journal:  Sensors (Basel)       Date:  2020-03-26       Impact factor: 3.576

  2 in total

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