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ANOMALY DETECTION USING HYBRID AUTOENCODER AND GAUSSIAN PROCESS REGRESSION
ANOMALY DETECTION USING HYBRID AUTOENCODER AND GAUSSIAN PROCESS REGRESSION
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机译:异常检测使用混合自动化器和高斯过程回归
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摘要
A method for detecting anomalies in a piece of wellsite equipment. The method may include measuring data related to the piece of wellsite equipment. The method may also include encoding the measured data with a first autoencoder to produce a first set of encoded data. The method may further include performing a first Gaussian process regression ("GPR") on the first set of encoded data to produce a first set of results that identifies a first anomaly in the measured data and that provides a first confidence interval for the first anomaly.
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