• Corpus ID: 229924205

Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model

@article{Chen2020EquipmentFA,
  title={Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model},
  author={Zhiyuan Chen and Olugbenro. O. Selere and Nicholas Lu Chee Seng},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.15030}
}
This paper aims at improving the classification accuracy of a Support Vector Machine (SVM) classifier with Sequential Minimal Optimization (SMO) training algorithm in order to properly classify failure and normal instances from oil and gas equipment data. Recent applications of failure analysis have made use of the SVM technique without implementing SMO training algorithm, while in our study we show that the proposed solution can perform much better when using the SMO training algorithm… 
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