Identification and Quantification of Hydraulic System Faults Based on Multivariate Statistics Using Spectral Vibration Features

Author:

Helwig Nikolai,Klein Steffen,Schütze Andreas

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference7 articles.

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2. Expert system development for vibration analysis in machine condition monitoring;Ebersbach;Expert systems with applications,2008

3. How to prepare an electronic version of your article, B.S. Jones R.Z. Smith (Eds.);Mettam;Introduction to the Electronic Age, E-Publishing Inc., New York,1999

4. Ginart, A., Barlas, I., Goldin, J., & Dorrity, J.L. (2006). Automated feature selection for embeddable prognostic and health monitoring (PHM) architectures. In Autotestcon, 2006 IEEE (pp. 195-201). IEEE.

5. An intelligent combined method based on power spectral density, decision trees and fuzzy logic for hydraulic pumps fault diagnosis;Mollazade;International Journal of Intelligent Systems and Technologies,2008

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