INDIRECT TIRE WEAR STATE ESTIMATION SYSTEM AND METHOD OF TIRE STATE ESTIMATION THROUGH WHEEL SPEED SIGNAL FEATURE EXTRACTION
DRIVE
April 26, 2017
A tire wear state estimation system is disclosed comprising a tire supported by a wheel and supporting a vehicle; a vehicle-based sensor for measuring wheel speed of the wheel supporting the tire and generating a wheel speed signal; a feature-extracting processor for extracting from the wheel speed signal a first extracted feature; a feature-extracting processor for extracting from the wheel speed signal a second extracted feature; and a data classifier receiving as data inputs first extracted feature data and second extracted feature data; the data classifier operable to conduct a classification of the first extraction feature data relative to the second extraction feature data to estimate a wear state for the tire. Also, a method for estimating a tire state of a tire supported by a wheel and supporting a vehicle is disclosed. The method comprises utilizing a vehicle-based sensor for measuring a wheel speed of the wheel supporting the tire and generating a wheel speed signal; extracting a first extracted feature from the wheel speed signal, the first extracted feature operably changing with a change in the tire state; extracting a second feature from the wheel speed signal, the second feature operably changing with a change in the tire state; classifying data from the first extracted feature and data from the second extracted feature using a support vector data classification algorithm; and applying the algorithm to estimate the tire state.
Discussion in the ATmosphere