Anomaly detection method for earth pressure cell measurements based on frequency domain decomposition and muti-point joint analysis

Key Points

• The aim is to improve the accuracy of safety evaluations for soil pressure cells by identifying data anomalies.
• Developed a method based on frequency domain decomposition and multi-point joint analysis.
• Used correlation analysis and isolation forest algorithm for anomaly detection.
• Validated the method through practical engineering examples.
• Achieved high accuracy in distinguishing data anomalies caused by environmental factors versus structural issues.
• Improved anomaly detection capability for soil pressure cell measurements.
• Enhanced overall safety monitoring ability in structural evaluations.