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Anomaly Detection of Surface Water Temperature Time Series by Ocean Mooring Buoy Based on Artificial Neural Network
Pages: 23-27
Year: Issue:  5
Journal: Journal of Ocean Technology

Keyword:  ocean observationanomaly detectionartificial neural networkmooring buoy;
Abstract: Ocean mooring buoy(OMB) is a representative equipment of operational ocean observing system. It usually operates in harsh ocean environment where the observing sequence is easily affected. In this paper, an anomaly detection case study on surface water temperature series obtained by OMB in Chu Island in Shandong Province is carried out with the prediction intervals of artificial neural network model as the decision threshold.The results show that the method is effective in detecting the surface water temperature data sequence caused by natural environmental factors, and no false negative or false positive results are detected. There is a certain delay in the power equipment, communications and other indirect equipment failures. But all the maximum anomalies and a few non-extreme anomalies caused by equipment failure can be identified, with the detection rate of anomalies reaching about 97.7%. Anomaly detection and analysis of equipment fault characteristics for the observation sequence of OMB are of great practical significance to ensure the long-term stable operation of the OMB.
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