Article | Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany | Modeling of hydraulic axial piston pumps including specific signs of wear and tear Linköping University Electronic Press Conference Proceedings
Göm menyn

Title:
Modeling of hydraulic axial piston pumps including specific signs of wear and tear
Author:
Christian Bayer: Fraunhofer Institute for Integrated Circuits, Division Design Automation, Germany Olaf Enge-Rosenblatt: Fraunhofer Institute for Integrated Circuits, Division Design Automation, Germany
DOI:
10.3384/ecp11063461
Download:
Full text (pdf)
Year:
2011
Conference:
Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany
Issue:
063
Article no.:
051
Pages:
461-466
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2011-06-30
ISBN:
978-91-7393-096-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


Export in BibTex, RIS or text

important role since many years. Nowadays; attention is also paid to maintenance times. Maintenance standstills are to be reduced as far as possible. On the other hand; technical systems are subject to signs of wear and tear which are in general growing slowly and imperceptibly. The gradual abrasion of applied tools may lead to poor production tolerances or to a component’s standstill. Hence; a condition-based maintenance strategy will be of increasing importance. Such a strategy requires a permanent condition monitoring during operation. To this end; reliable high-performance algorithms for signal processing; feature extraction; and classification are needed. Modeling the process of wear and tear may be useful to find the particular steps of the condition monitoring system’s signal processing. This strategy was investigated by means of one very important device from automation engineering; a hydraulic axial piston pump. The procedure of getting signals by an appropriate Modelica model of the main parts of the pump is shown within the paper. Additionally; the manipulation process for the signals and the steps of classification are shortly presented to give an overview to the possibilities of model-based signal generation based on a Modelica model. The advantages of the multi-physics modeling language are emphasized because the axial piston pump model combines the mechanical and the hydraulic domain in a very efficient way.

Keywords: Condition monitoring; classification; signal processing

Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Author:
Christian Bayer, Olaf Enge-Rosenblatt
Title:
Modeling of hydraulic axial piston pumps including specific signs of wear and tear
DOI:
http://dx.doi.org/10.3384/ecp11063461
References:

[1] Ming Liu; Dynamisches Verhalten hydrostatischer Axialkolbengetriebe. Bochum; Germany: PhD thesis; Institute Product and Service Engineering; Ruhr-Universität Bochum; 2001

[2] Liang Chen; Model-based fault diagnosis and fault-tolerant control for a nonlinear electrohydraulic system; PhD thesis; TU Kaiserslautern; 2010.

[3] Dymola 7.3; Dassault Systèmes

[4] Fritzson P.; Principles of Object-Oriented Modeling and Simulation with Modelica 2.1; IEEE Press; 2004

[5] A. Roccatello; S. Mancò and N. Nervegna; Modelling a Variable Displacement Axial Piston Pump in a Multibody Simulation Environment; J. Dyn. Sys.; Meas.; Control; 129(4):456; 2007.

[6] Zoebl H.; Kruschik J.; Strömung durch Rohre und Ventile; Springer-Verlag Wien; Austria; 1978. doi: 10.1007/978-3-7091-3390-3.

[7] R. Petrovic; Mathematical Modeling and Experimental Research of Characteristic Parameters Hydrodynamic Processes of a Piston Axial Pump; Journal of Mechanical Engineering; 55(4):224-229; 2009

[8] MATLAB® 2010a; The MathWorks; Inc.

Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Author:
Christian Bayer, Olaf Enge-Rosenblatt
Title:
Modeling of hydraulic axial piston pumps including specific signs of wear and tear
DOI:
https://doi.org10.3384/ecp11063461
Note: the following are taken directly from CrossRef
Citations:
  • Daniel Hast, Rolf Findeise & Stefan Streif (2015). Detection and isolation of parametric faults in hydraulic pumps using a set-based approach and quantitative–qualitative fault specifications. Control Engineering Practice, 40: 61. DOI: 10.1016/j.conengprac.2015.01.003


  • Responsible for this page: Peter Berkesand
    Last updated: 2019-10-02