US 2023/0068432 A1 · METHODS AND SYSTEMS FOR ESTIMATING A REMAINING USEFUL LIFE OF AN ASSET

Abstract

Methods and systems are provided for monitoring a health of a vehicle component. In one embodiment, a method is provided, comprising dividing a population of vehicles of a connected vehicle population into a plurality of vehicle classes; for each vehicle class of the plurality of vehicle classes, training a class-specific model of the vehicle class to predict a health status variable of a vehicle component included in the vehicle class based on labelled data from historic databases and calibration data; and for each vehicle class of the plurality of vehicle classes, using a first Federated Learning strategy to request local model data from each vehicle of a plurality of vehicles of the vehicle class; receive the local model data from the plurality of vehicles; update the class-specific model based on the received local model data; and send updated parameters of the class-specific model to vehicles included in the vehicle class.

Claims20

Dependent claims

A method, comprising:

dividing a population of vehicles of a connected vehicle population into a plurality of vehicle classes;
for each vehicle class of the plurality of vehicle classes, training a class-specific model of the vehicle class to predict a health status variable of a vehicle component included in the vehicle class based on labelled data from historic databases and calibration data;
and
for each vehicle class of the plurality of vehicle classes, using a first Federated Learning (FL) strategy to:
request local model data from each vehicle of a plurality of vehicles of the vehicle class;
receive the local model data from the plurality of vehicles;
update the class-specific model of the vehicle class based on the received local model data;
and
send updated parameters of the updated, class-specific model to vehicles included in the vehicle class and further send instructions to retrain local models of the vehicles with the updated parameters.

6 more elements

A system, comprising:

a population of vehicle components of a connected vehicle population;
a cloud-based server wirelessly connected to the population of vehicle components, the cloud-based server including a processor and instructions stored on non-transient memory that, when executed, cause the processor to:
in response to receiving a request to initiate Federated Learning (FL) from a vehicle of the connected vehicle population due to a degradation detected in a vehicle component of the vehicle:
initiate an FL session to update parameters of a class-specific RUL model of a class of the vehicle component, based on aggregated data of a plurality of local RUL models of vehicle components of vehicles of the class of the vehicle component;
and
transmit data of the updated class-specific RUL model to the vehicles of the class of the vehicle component, the data including an updated predicted class-based RUL of the vehicle component.

3 more elements

Dependencies are inferred from the claim text.

Methods and systems for estimating a remaining useful life of an asset

Life of this patent

Methods and systems for estimating a remaining useful life of an asset

Life of this patent

Abstract

Claims20