Anomaly detection based on time series data ofhydraulic accumulator

HIGHLIGHTS

• who: Min-Ho Park and colleagues from the Division Marine Engineering, and Ocean University, Busan, Republic have published the research: Anomaly Detection Based on Time Series Data ofHydraulic Accumulator, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
• what: To evaluate the performance of the model using the training and test sets, the accuracy of Equation was used as the performance evaluation metric. In this study, an algorithm was developed to detect such anomalies in advance. This model has the advantage of being able to visualize the anomalous detected area through the . . .
  

   

  

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