Detection and Analysis of Abnormal Operating Parameters of Marine Diesel Engines
In order to ensure the safe and efficient operation of ships,four methods for detecting anomalies in the operating parameters of marine diesel engines were proposed.On the basis of the vector statistics-based anomaly detection,this technique could further introduce new methods to monitor the trend anomalies in the time series of operating parameters.By extracting the trends and patterns in the evolution process of operating parameter data,it is possible to identify abnormal trends earlier and more accurately,providing decision support for equipment management.Experimental results demonstrated that the proposed anomaly detection techniques can effectively improve the efficiency and accuracy of marine diesel engine anomaly detection,enabling the early detection of safety hazards.
time series dataanomaly detectiontrend anomalychange point detectionabnormal sharp rise and fall