Vibration based fault detection and identification in an aircraft skeleton structure via a stochastic functional model based method

• Published in: Mechanical systems and signal processing Vol. 22; no. 3; pp. 557 - 573
• Main Authors: Sakellariou, J.S., Fassois, S.D.
• Format: Journal Article
• Language: English
• Published: London Elsevier Ltd 01.04.2008; Elsevier
• Subjects: Aircraft skeleton structure; Exact sciences and technology; Fault detection; Fault estimation; Fault identification (localization); Functionally pooled models; Fundamental areas of phenomenology (including applications); Measurement and testing methods; Physics; Solid mechanics; Statistical methods; Structural and continuum mechanics; Vibration based methods; Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...); Fault estimation; Fault detection; Fault identification (localization); Statistical methods; Vibration based methods; Aircraft skeleton structure; Functionally pooled models; Vibration; Probabilistic approach; Statistical estimation; Stochastic method; Telemetry; Modeling; Remote sensing; Statistical method; Statistical test; Added mass; Signal processing; Skeleton; Localization; Aircraft; Defect detection; Non contact measurement

The problem of vibration based fault detection, identification (localization) and estimation in a scale aircraft skeleton structure is considered via a stochastic functional model based method (FMBM). The method is based on the novel class of stochastic Functionally Pooled models, which are capable...