A dual modal alignment method of rail image and axle box acceleration based on variable-scale pattern matching

Key Points

• The dual modal alignment method significantly enhances the accuracy of aligning rail images with axle box acceleration data, improving monitoring capabilities.
• Findings indicate an accuracy improvement of over 90% using variable-scale pattern matching techniques in real-time settings.
• Analysis of signal data from rail systems demonstrates the effectiveness of this method in reducing false readings, therefore increasing reliability.
• Highlights the need for advanced pattern recognition in rail safety systems to ensure accurate diagnostics and maintenance.