Reference : Comparison of output-only methods for condition monitoring of industrials systems
Scientific congresses and symposiums : Paper published in a journal
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/99421
Comparison of output-only methods for condition monitoring of industrials systems
English
Rutten, Christophe mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures >]
Nguyen, Viet Ha [> >]
Golinval, Jean-Claude mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures >]
2011
Journal of Physics: Conference Series
Institute of Physics Publishing IOP)
305
Yes (verified by ORBi)
International
1742-6588
1742-6596
Bristol
United Kingdom
DAMAS 2011, The 9th International Conference on Damage Assessment of Structures
11th to 13th of July 2011
Institute of Physics
Oxford
United Kingdom
[en] Health monitoring ; PCA ; KPCA ; BMID ; Subspace angle
[en] In the field of structural health monitoring or machine condition monitoring, the activation of nonlinear dynamic behavior complicates the procedure of damage or fault detection. Blind source separation (BSS) techniques are known as efficient methods for damage diagnosis. However, most of BSS techniques repose on the assumption of the linearity of the system and the need of many sensors. This article presents some possible extensions of those techniques that may improve the damage detection, e.g. Enhanced-Principal Component Analysis (EPCA), Kernel PCA (KPCA) and Blind Modal Identification (BMID). The advantages of EPCA rely on its rapidity of use and its reliability. The KPCA method, through the use of nonlinear kernel functions, allows to introduce nonlinear dependences between variables. BMID is adequate to identify and to detect damage for generally damped systems. In this paper, damage is firstly examined by Stochastic Subspace Identification (SSI); then the detection is achieved by comparing subspace features between the reference and a current state through statistics and the concept of subspace angle. Industrial data are used as illustration of the methods.
Researchers ; Professionals
http://hdl.handle.net/2268/99421
http://iopscience.iop.org/1742-6596/305/1

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