Principal component analysis applied to filtered signals for maintenance management

This paper presents an approach for detecting and identifying faults in railway infrastructure components. The method is based on pattern recognition and data analysis algorithms. Principal component analysis (PCA) is employed to reduce the complexity of the data to two and three dimensions. PCA inv...

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Veröffentlicht in:	Quality and reliability engineering international 2010-10, Vol.26 (6), p.523-527
Hauptverfasser:	Marquez, Fausto Pedro Garcia, Garcia-Pardo, Isidro Pena
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Filtering Filtration fixed interval smoothing Infrastructure Kalman filter Mathematical analysis Mathematical models Principal component analysis state-space model Three dimensional unobserved components models
Online-Zugang:	Volltext
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