A Review on Analytic Anomaly Detection of Fluid in Pipeline Using Machine Learning
Ismail Abdulkarim Adamu,
Fatima Umar Zambuk,
Badamasi Imam Ya’u
et al.
Abstract:Fluids such as water, oil, and gas are transported using pipelines in industries. Because of society's social, health, and economic importance, pipelines transporting these fluids should be properly managed. This paper presents a review of the anomaly detection of fluid transported via pipelines using Machine Learning (ML) approaches. We used the conventional method to search, filter, and include relevant papers available in the literature. We classified the included papers based on the fluids category, which … Show more
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