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  Published Paper Details:

  Paper Title

BESPOKE MARINE MACHINE LEARNING ALGORITHM FOR ENHANCED OEPRATIONAL EFFICIENCY

  Authors

  Sachin Sinha,  M.A.Mohideen Abdul Khader,  Dr. Suresh Kumar

  Keywords

Marine, CBPM, Predictive Analytics

  Abstract


The maintenance of marine equipment/system follows a tight laid down regime of Condition Based Predictive Maintenance (CBPM) maintenance schedule wherein the marine equipment/system are subjected to maintenance based on running hours/condition of the machinery. The Authors et al. suggest that implementation of Machine learning algorithm coupled with the existing CBPM practices can lead to enhanced operational hours of the equipment/system, major cost savings and better predictability of the upcoming failure on any marine machinery. Exhaustive practical study cum analysis has been undertaken by the Authors et.al to design a Marine Machine Learning (MML) algorithm which is as mentioned in this paper.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2004487

  Paper ID - 193886

  Page Number(s) - 3438-3442

  Pubished in - Volume 8 | Issue 4 | April 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sachin Sinha,  M.A.Mohideen Abdul Khader,  Dr. Suresh Kumar,   "BESPOKE MARINE MACHINE LEARNING ALGORITHM FOR ENHANCED OEPRATIONAL EFFICIENCY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 4, pp.3438-3442, April 2020, Available at :http://www.ijcrt.org/papers/IJCRT2004487.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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