Patent ID: 11914358
Assignee: FORD GLOBAL TECHNOLOGIES, LLC
Field: Control (Instruments)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A method for continuous health monitoring of connected physical assets including vehicle components of a plurality of vehicles of a connected vehicle system, comprising:
monitoring detection of anomalies of a vehicle component of the vehicle components of the plurality of vehicles based on an aggregation of new connected data from the plurality of vehicles using a plurality of anomaly detection (AD) models each specific to the vehicle component, each AD model including a respective AD threshold, the plurality of AD models comprising different machine learning and/or physics-based models;
updating and ranking the plurality of AD models relative to each other based on probability density functions created during the monitoring by estimating conditional probabilities of degradation of the vehicle component given a prior degradation of one or more other vehicle components related to the vehicle component, wherein the ranking includes ranking the AD models based on the updated conditional probabilities and updating one or more AD thresholds, and wherein the ranking changes as new connected data is received, until confirming a best performing model of the plurality of AD models, wherein the best performing model includes a corresponding AD threshold; and
deploying the best performing model to detect the anomalies of the vehicle component of the plurality of vehicles, the deploying including deploying the best performing model on a vehicle of the plurality of vehicles by storing and executing the best performing model on a controller of the vehicle, wherein the best performing model is executed on vehicle data of the vehicle to determine if the vehicle component of the vehicle is exhibiting signs of degradation based on the vehicle data relative to the corresponding AD threshold of the best performing model.