The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 17, 2024

Filed:

Nov. 18, 2020
Applicant:

Ani Technologies Private Limited, Bengaluru, IN;

Inventors:

Punit Mahipal, Bangalore, IN;

Hitesh Hinduja, Thane, IN;

Vamsee Krishna Voruganti, Bangalore, IN;

Gaurav Agarwal, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60R 16/023 (2006.01); G05B 23/02 (2006.01); G06N 20/00 (2019.01); G06Q 10/20 (2023.01); G07C 5/00 (2006.01); G07C 5/08 (2006.01);
U.S. Cl.
CPC ...
G06Q 10/20 (2013.01); B60R 16/0234 (2013.01); G05B 23/0283 (2013.01); G06N 20/00 (2019.01); G07C 5/006 (2013.01); G07C 5/0808 (2013.01);
Abstract

A method for predictive maintenance of a component of a vehicle includes collection of first operational data, from a telematics device of the vehicle, for a set of parameters associated with the component. From the first operation data, a first dataset is selected based on an engine status of an engine of the vehicle. The first dataset is processed to obtain a plurality of feature values and the plurality of feature values are segregated into a plurality of clusters. A classifier is trained based on the plurality of clusters to determine the health status of the component. Real-time or near real-time operational data for the set of parameters is received, from the telematics device of the vehicle. The received operational data is used as an input to the trained classifier and the health status of the component is determined based on an output of the trained classifier.


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