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Reliability Analysis of Diesel Engine at LNG Plant using Counting Process

*Seno Darmanto scopus  -  Universitas Diponegoro, Indonesia
Ireng Sigit Atmanto  -  Universitas Diponegoro, Indonesia
Bagus Hendra Permana  -  Universitas Diponegoro dan PTB Badak LNG, Indonesia
Open Access Copyright 2019 Journal of Vocational Studies on Applied Research under http://creativecommons.org/licenses/by-sa/4.0.

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Abstract
The purpose of this research is to analyze the reliability of diesel engine as driver for fire water pump. To determine the reliability level of the diesel engine, this research will apply counting process so that the rate of failure of the diesel engine can be known. The data used as basis for calculation is failure data gained from maintenance work order databases from 2012 to 2017. The data obtained will be processed using counting process method to produce mathematical modeling to predict the amount of failure to diesel engines in the future. From 4 diesel engines, only 3 parametric failure rate (l) that could be generated,  for 33-GE-5A,  for 33-GE-5B, and  for 33-GE-5C, since 33-GE-5D was severely damaged in September 2015.   The mathematical modeling will be verified using the Pearson's Chi-squared Test method to ensure the validity of the mathematical model can be guaranteed. The result of the goodness of fit test shows that only parametric failure rate (l) for 33-GE-5B and 33-GE-5C that could be accepted. The outcome mathematical model will be used to predict future behavior and failure of the unit so effective and efficient maintenance strategy for 33-GE-5B and 33-GE-5C could be applied
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Keywords: counting process, diesel engine, reliability
Funding: Sekolah Vokasi Universitas Diponegoro

Article Metrics:

  1. Ascher H., Feingold H. 1984. Repairable System Reliability: Modelling, Inference, Misconception and Their Causes, Marcel Dekker, Inc., 10-23
  2. Cox D. R., Lewis P.A.W. 1966. The Statistical Analysis of Series of Event, Nuffield College, Oxford, 1-180
  3. Rausan M., Høyland A. 2004. System Reliability Theory, Second Edition, John Wiley & Sons, Inc., 245-297
  4. Dudenhoeffer D.D. 1994. Failure Analysis of a Repairable System: The Case Study of a Cam-Driven Reciprocating Pump, Thesis, Master of Science in Operations Research, Naval Posgraduate School, Monterey
  5. Rempala G.A, Wesolowski J. 2016. Double Asymptotics for the Chi-square Statistic. Statistics & Probability Letters. 119, 317-325
  6. Slimacek V., Linqvist B.H. 2017. Non-homogeneous Poisson Process with Non-parametric Fraitility and Covariates. Reliability & System Safety, 167, 75-83
  7. Wang Y., Rausand M. 2014. Reliability Analysis of Safety-Instrumented System Operated in High Demand Mode. Journal of Loss Prevention, 32, 254-264
  8. Oracle-Database, Maintenance Work Order for 33-GE-5A/B/C/D, downloaded on August, 25th 2018

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