Tyre Crown Axial Motion Sensing for Clear Wear Frequency Detection

The patent segments the complex frequency spectrum analysis by focusing on specific vibration modes (vertical and longitudinal) that are most relevant to tire wear and structural integrity. Instead of analyzing all vibration modes simultaneously, the method isolates and analyzes only the pertinent components, thereby simplifying the spectrum interpretation while maintaining measurement precision.

The patent introduces signal processing techniques as intermediaries between the raw accelerometric data and the final frequency identification. These processing methods act as mediators that filter out irrelevant vibration mode contributions and enhance the visibility of the target vibration modes, resolving the complexity issue without sacrificing measurement accuracy.

The patent applies local quality by assigning different analysis approaches to different parts of the frequency spectrum. Specifically, it focuses computational resources and analysis attention on the frequency regions corresponding to vertical and longitudinal vibration modes, which are locally optimized for wear detection, rather than attempting uniform analysis of the entire spectrum.

The patent performs preliminary signal processing and filtering operations before final frequency identification. By pre-processing the accelerometric signals to emphasize relevant vibration modes and suppress others in advance, the method makes the subsequent frequency detection more reliable and less difficult.