|
| Anomaly Detection and Processing Method Based on Real Ship Structure Monitoring Data |
| Received:July 19, 2023 Revised:September 06, 2023 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2023.09.017 |
| KeyWord:real ship structure monitoring data Z-score anomaly detection average method error analysis accuracy verification calculation of statistical values |
| Author | Institution |
| SUN Meng-dan |
China Ship Scientific Research Center, Jiangsu Wuxi , China |
| WANG Xue-liang |
China Ship Scientific Research Center, Jiangsu Wuxi , China |
| WU Guo-qing |
China Ship Scientific Research Center, Jiangsu Wuxi , China |
| YAO Ji |
China Ship Scientific Research Center, Jiangsu Wuxi , China |
| JIANG Zhen-tao |
China Ship Scientific Research Center, Jiangsu Wuxi , China |
|
| Hits: |
| Download times: |
| Abstract: |
| To obtain high-quality real ship structure monitoring data and reduce signal errors caused by external factors, the work aims to develop a set of fast and accurate anomaly processing methods to preprocess the real ship structure monitoring data. The method combined the Z-score anomaly detection method in statistics with the commonly used average calculation method in data processing to achieve high-precision and fast anomaly processing of ship monitoring data. Based on normal signals, validation data containing abnormal phenomena was created to verify the accuracy of the new anomaly processing method. Finally, the validation data that had undergone anomaly processing were subject to structural statistical value calculations including signal filtering, signal component extraction, and signal feature value calculation, and the calculation errors were compared. Compared with traditional signal processing methods such as Hampel filter and Smooth smoothing function, the Z-score anomaly detection and average value calculation method had the highest accuracy in anomaly processing, and the structural signal statistical values calculated based on this were the most accurate, with an average calculation error of less than 10%. In conclusion, the Z-score anomaly detection and average value calculation method is suitable for anomaly handling of real ship structure monitoring data and plays an important role in mining the value of structure data. |
| Close |
|
|
|