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Maintenance actions planning in industrial centrifugal compressor based on failure analysis

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Planowanie czynności konserwacyjnych dla przemysłowej sprężarki odśrodkowej w oparciu o analizę uszkodzeń
Języki publikacji
EN
Abstrakty
EN
The industrial maintenance implementation requires to the behaviour system analysis and their components. In this work, we optimize the maintenance actions to eliminate failures in the inspected industrial process. Our purpose in this work is to improve the components reliability in gas compression system, by the planning of the maintenance actions based on failure analysis using the intervention optimization in industrial centrifugal compressor plant. The finality of this proposed approach is proved by the improvement of the reliability performances and by the availability of this oil installation.
PL
Obsługa urządzeń przemysłowych wymaga analizy zachowań układów i ich części składowych. W niniejszej pracy zoptymalizowano czynności konserwacyjne tak, aby wyeliminować występowanie uszkodzeń w kontrolowanym procesie przemysłowym. Celem prezentowanej pracy było poprawienie niezawodności elementów układu sprężania gazu poprzez zaplanowanie czynności konserwacyjnych w oparciu o analizę uszkodzeń z wykorzystaniem optymalizacji interwencji w przemysłowej sprężarce odśrodkowej. O skuteczności proponowanego podejścia świadczy poprawa parametrów niezawodności oraz gotowość omawianej instalacji olejowej.
Rocznik
Strony
17--21
Opis fizyczny
Bibliogr. 28 poz.
Twórcy
autor
  • Laboratory Reliability of Hydrocarbons Equipment and materials (LFEPM), University of Boumerdes 35000, Algeria
autor
  • Applied Automation and Industrial Diagnostic Laboratory, Faculty of Science and Technology University of Djelfa 17000 DZ, Algeria
autor
  • Laboratory Reliability of Hydrocarbons Equipment and materials (LFEPM), University of Boumerdes 35000, Algeria
Bibliografia
  • 1. Aghezzaf EH, Jamali MA, Ait-Kadi D. An integrated production and preventive maintenance planning model. European Journal of Operational Research 2007; 18(1, 2): 679–685.
  • 2. Anthony Kelly, Maintenance and the industrial organization. Plant Maintenance Management Set 2006 ; 3(1) : 3–8
  • 3. Carnero MC. Selection of diagnostic techniques and instrumentation in a predictive maintenance program. A case study. Decision Support Systems 2005; 38(4): 539–555.
  • 4. Devarun Ghosh, Sandip Roy, Maintenance optimization using probabilistic cost-benefit analysis. Journal of Loss Prevention in the Process Industries 2009; 22(4): 403–407.
  • 5. Djamel Halimi, Ahmed Hafaifa, Elahmoune Bouali and Mouloud Guemana, Vibrations detection and isolation in centrifugal pump used in petroleum industry using spectral analysis approach. Archive of Sciences Journal 2012; 65(11): 234–245.
  • 6. Eisinger S, Rakowsky UK. Modeling of uncertainties in reliability centered maintenance — a probabilistic approach. Reliability Engineering & System Safety 2001; 71(2): 159–164.
  • 7. Elhaj M, Gu F, Bal AD l, Albarbar A, Al-Qattan M, Naid A. Numerical simulation and experimental study of a two-stage reciprocating compressor for condition monitoring. Mechanical Systems and Signal Processing 2008; 22(2): 374–389.
  • 8. Enrique Castillo, Roberto Mínguez, Carmen Castillo, Sensitivity analysis in optimization and reliability problems. Reliability Engineering & System Safety 2008; 93(12): 1788–1800.
  • 9. Farrahi GH, Tirehdast M, Masoumi Khalil Abad E, Parsa S, M. Motakefpoor. Failure analysis of a gas turbine compressor. Engineering Failure Analysis 2011; 18(1): 474–484.
  • 10. Fazzini PG, Márquez AA, Otegui JL, Barcia P. Cause and effect assessment after a complex failure of a large ethylene compressor. Engineering Failure Analysis 2006; 13(8): 1358–1369.
  • 11. Garcia E, Guyenne Ht, Lapayre JC, Zerhouni N. A new industrial cooperative tele-maintenance platform. Computers & Industrial Engineering 2004; 46(4): 851–864.
  • 12. Goel HD, Grievink J, Weijnen MPC. Integrated optimal reliable design, production, and maintenance planning for multipurpose process plants. Computers & Chemical Engineering 2003; 27(11): 1543–1555.
  • 13. Heyen G, Murphy K, Marchio D, Kalata P, Kalitventzeff B. Dynamic simulation and control of gas turbines and compressor systems. Computers & Chemical Engineering 1993; 17(1): 299–304.
  • 14. Jiandong Zhang, Gang Rong, Weifeng Hou, Chenbo Huang, Simulation based approach for optimal scheduling of fuel gas system in refinery. Chemical Engineering Research and Design 2010; 88(1): 87–99.
  • 15. Lebele-Alawa BT, Hart HI, Ogaji SOT, Probert SD. Rotor-blades’ profile influence on a gas-turbine’s compressor effectiveness. Applied Energy 2008; 85(6): 494–505.
  • 16. Lei You, Jun Hu, Fang Fang and Lintao Duan, Fault Diagnosis System of Rotating Machinery Vibration Signal. Procedia Engineering 2011; 15(1): 671–675.
  • 17. Li YG, Nilkitsaranont P. Gas turbine performance prognostic for condition-based maintenance. Applied Energy 2009; 86(10): 2152–2161.
  • 18. Moore WJ, Starr AG. An intelligent maintenance system for continuous cost-based prioritisation of maintenance activities. Computers in Industry 2006; 57(6): 595–606.
  • 19. Mouloud Guemana, Slimane Aissani and Ahmed Hafaifa, Use a new calibration method for gas pipelines: An advanced method improves calibrating orifice flowmeters while reducing maintenance costs. Hydrocarbon Processing Journal 2011; 90(8): 63–68.
  • 20. Panida Jirutitijaroen, Chanan Singh, The effect of transformer maintenance parameters on reliability and cost: a probabilistic model. Electric Power Systems Research 2004; 72(3): 213–224.
  • 21. Otegui JL, Fazzini PG, Marquez AA, Barcia PL. Failure analysis of packing plate in a hyper compressor at a petrochemical plant. Engineering Failure Analysis 2008; 15(5): 531–542.
  • 22. Radouane Laggoune, Alaa Chateauneuf, Djamil Aissani, Impact of few failure data on the opportunistic replacement policy for multi-component systems. Reliability Engineering & System Safety 2010; 95(2): 108–119.
  • 23. Radouane Laagoune, Alaa Chateauneuf, Djamil Aissani, Opportunistic policy for optimal preventive maintenance of a multi-component system in continuous operating units. Computers & Chemical Engineering 2009; 33(9): 1499–1510.
  • 24. Vassiliadis CG, Arvela J, Pistikopoulos EN, Papageorgiou LG. Planning and maintenance optimization for multipurpose plants. Computer Aided Chemical Engineering 2000; 8(1): 1105–1110.
  • 25. Wang Hongzhou and Pham Hoang, Reliability and optimal maintenance: Series: Springer Series in Reliability Engineering 2006; ISBN 978- 1-84628-324-6.
  • 26. Xuan Hai-jun, Song Jian, Failure analysis and optimization design of a centrifuge rotor. Engineering Failure Analysis 2007; 14(1): 101–109.
  • 27. Yuan Mao Huang, Sheng-An Yang, A measurement method for air pressures in compressor vane segments. Measurement 2008; 41(8): 835–841.
  • 28. Zouakia Rochdi, Bouami Driss, Tkiouat Mohamed, Industrial systems maintenance modelling using Petri nets. Reliability Engineering & System Safety 1999; 65(2): 119–124
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f02b7778-98a8-4c64-a6e5-4b85983a8b00
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