Anomaly Detection in Wastewater Treatment Plants Using Unsupervised Machine Learning Algorithms

Abdulaziz Sami Qambar; Mohammed Majid M. Al-Khalidy

doi:10.2139/ssrn.4191844

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JOURNAL ARTICLE

Anomaly Detection in Wastewater Treatment Plants Using Unsupervised Machine Learning Algorithms

Abdulaziz Sami Qambar Mohammed Majid M. Al-Khalidy

Year: 2022 Journal: SSRN Electronic Journal Publisher: RELX Group (Netherlands)

DOI: 10.2139/ssrn.4191844

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Keywords:

Anomaly detection Computer science Machine learning Artificial intelligence Unsupervised learning Anomaly (physics) Algorithm Pattern recognition (psychology) Physics

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Water Quality Monitoring Technologies

Physical Sciences → Environmental Science → Water Science and Technology

Anomaly Detection in Wastewater Treatment Plants Using Unsupervised Machine Learning Algorithms

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Citation History

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