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Numerical Simulation and Experimental Study of a Two Stage Reciprocating Compressor for Condition Monitoring

Elhaj, M., Gu, Fengshou, Ball, Andrew, Albarbar, A., Al-Qattan, M. and Naid, A. (2008) Numerical Simulation and Experimental Study of a Two Stage Reciprocating Compressor for Condition Monitoring. Mechanical Systems and Signal Processing, 22 (2). pp. 374-389. ISSN 08883270

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Abstract

A numerical simulation of a two-stage reciprocating compressor has replicated the operations of the compressor under
various conditions for the development of diagnostic features for predictive condition monitoring. The simulation involves
the development of a mathematical model of five different physical processes: speed–torque characteristics of an induction
motor, cylinder pressure variation, crankshaft rotational motion, flow characteristics through valves and vibration of the
valve plates. Modelling both valve leakage and valve spring deterioration has also been achieved. The simulation was
implemented in a MATLAB environment for an efficient numerical solution and ease of result presentation. For normal
operating conditions, the simulated results are in good agreement with the test results for cylinder pressure waveforms and
crankshaft instantaneous angular speed (IAS). It has been found that both the IAS fluctuation and pressure waveform are
sensitive detection features for compressor faults such as valve leakage and valve spring deterioration. However, IAS is
preferred because of its non-intrusive measurement nature. Further studies using the model and experiments are being
undertaken in order to develop fault detection features for compressor driving motors and transmission systems.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > Informatics Research Group
School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
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Depositing User: Luyang Guan
Date Deposited: 15 May 2009 15:14
Last Modified: 08 Dec 2010 13:19
URI: http://eprints.hud.ac.uk/id/eprint/4274

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