Unsupervised Fault Detection With a Decision Fusion Method Based on Bayesian in the Pumping Unit
IEEE Sensors Journal(2021)
Abstract
Since a large amount of data can be obtained in the oil production process nowadays and the operation environment is increasingly complicated, it is necessary to research unsupervised and robust fault detection methods for improving safety. In this paper, an online Bayesian-based technique with a novel decision fusion algorithm is proposed for unsupervised fault detection in the pumping unit. Firs...
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Key words
Fault detection,Dynamometers,Production,Oils,Bayes methods,Approximation algorithms,Testing
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