EconPapers    
Economics at your fingertips  
 

A New Method of Identifying the Limit Condition of Injection Pump Wear in Self-Ignition Engines

Artur Bejger and Jan Bohdan Drzewieniecki
Additional contact information
Artur Bejger: Department of Condition Monitoring & Maintenance of Machinery, Maritime University of Szczecin, 71-650 Szczecin, Poland
Jan Bohdan Drzewieniecki: Department of Condition Monitoring & Maintenance of Machinery, Maritime University of Szczecin, 71-650 Szczecin, Poland

Energies, 2020, vol. 13, issue 7, 1-11

Abstract: The quality or reliability of diagnostics is understood as obtaining the most likely diagnosis, and finding possible causes leading to incorrect operation of the system. In real engine running conditions it is often very difficult. Dependable methods providing the most reliable diagnoses have not been developed yet. It becomes more and more important to identify the limit state in condition monitoring—the state that should not be exceeded because continued operation of such a machine is not advisable for technical, economic, or operational safety reasons. The authors have implemented a method using acoustic emission signal analysis for the identification of the injection pump limit state in a working engine. The use of the cross gain function allows one to reliably diagnose limit conditions related to the wear of the precision pair in injection pumps of running engines, working as energy transmission systems on ships and in land-based power stations. The paper draws the results for two different marine diesel engines: two-stroke (by MAN B&W type 7S80MC-C) and four-stroke (by Wartsila type SW 380). The experiment results obtained indicate that the use of the cross gain function allows us to determine the limit condition for a various type of injection pump.

Keywords: acoustic emission; diesel engines; cross gain function; condition monitoring; fuel injection pumps (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/7/1601/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/7/1601/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:7:p:1601-:d:339866

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1601-:d:339866