Crowdsourced failure mode prediction

This invention describes a system designed to monitor a fleet of vehicles, such as autonomous cars, to predict when they might experience a failure. Each vehicle is equipped with smart sensors that collect data, like vibrations, and send it to a central computer system. This central system gathers data from many vehicles to build a picture of what normal operation looks like, and then uses this understanding to forecast potential breakdowns. The claims specifically focus on this central computer system and its application to autonomous vehicles.

Why it matters: Filed before the maturity of cloud-based AI for predictive maintenance and the increased prevalence of autonomous vehicles. Today's advanced machine learning models and accessible cloud infrastructure significantly simplify building the "normal behavior model" and "failure prediction" from crowd-sourced data.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedPredictive modeling software, custom sensor integration

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