| CPC G07C 5/006 (2013.01) [G07C 5/0808 (2013.01)] | 14 Claims |
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8. A method for noise localization, the method comprising:
performing a plurality of measurements of a noise produced by a defective part using a plurality of vehicle sensors, wherein performing the plurality of measurements further comprises:
performing a first plurality of vibration measurements with a first vibration sensor of the plurality of vehicle sensors;
performing a second plurality of vibration measurements with a second vibration sensor of the plurality of vehicle sensors; and
performing a third plurality of vibration measurements with a third vibration sensor of the plurality of vehicle sensors;
determining a location of the defective part based at least in part on the plurality of measurements using at least one of: a machine learning based method and an analytical method, wherein determining the location of the defective part using the analytical method further comprises:
identifying a vibration event based at least in part on the first, second, and third pluralities of vibration measurements, wherein the vibration event emanates from the location of the defective part, wherein the vibration event includes at least three vibration pairs, wherein a first vibration pair is detected in the first plurality of vibration measurements, a second vibration pair is detected in the second plurality of vibration measurements, and a third vibration pair is detected in the third plurality of vibration measurements, and wherein each of the first, second, and third vibration pairs includes a longitudinal vibration and transversal vibration, and wherein identifying the vibration event further comprises:
performing a spectral analysis to identify a plurality of frequencies present in the first, second, and third pluralities of vibration measurements;
comparing the plurality of frequencies to a range of normal operation frequencies; and
identifying the vibration event in response to determining that at least one of the plurality of frequencies is outside of the range of normal operation frequencies;
determining a first distance between the first vibration sensor and the defective part based at least in part on a difference between a reception time of the longitudinal vibration of the first vibration pair and a reception time of the transversal vibration of the first vibration pair;
determining a second distance between the second vibration sensor and the defective part based at least in part on a difference between a reception time of the longitudinal vibration of the second vibration pair and a reception time of the transversal vibration of the second vibration pair;
determining a third distance between the third vibration sensor and the defective part based at least in part on a difference between a reception time of the longitudinal vibration of the third vibration pair and a reception time of the transversal vibration of the third vibration pair; and
determining the location of the defective part using trilateration based at least in part on the first distance, the second distance, and the third distance; and
identifying the defective part based at least in part on the location of the defective part.
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