NOVELTY - A system for monitoring and predicting the condition of an electronic system comprises a component model; an inference engine based on the component model; and an action selection component that selects an action based on an output of the inference engine. The inference engine utilizes the component model and sensor data from electronic system to make predictions about a state and a likelihood of failure of the electronic system. The component model is constructed using knowledge of key elements of the electronic system. The component model includes dynamic Bayesian network model.    USE - As system for monitoring and predicting the condition of an electronic system such as power system of a remote vehicle, a battery of a remote vehicle (claimed).    ADVANTAGE - The action selection component mitigates potential failures based on predictions from the inference engine or creates new data to improve prediction accuracy of the inference engine. The system is a more predictive system with better diagnosis; and can help reduce or eliminate failures by predicting when the power system for a remote vehicle is near failure, allowing users to replace either the power system or the remote vehicle. The electronic system condition monitoring and prognostic system can improve reliability of electrical systems by generating predictions about failures. The system effectively anticipates/predicts failure of electrical systems due to e.g. defects or misuse, and allows the electrical system or its platform to take action on the basis of such predictions. The remote vehicle can use the predictions of the system to take actions to avoid failures without any intervention from the user e.g. by performing charging and discharging behaviors.    DETAILED DESCRIPTION - INDEPENDENT CLAIMS are included for the following:    (1) monitoring and predicting the condition of an electronic system involving: constructing a component model; predicting a state and a likelihood of failure of the electronic system using an inference engine based on the component model; and either mitigating potential failures of the electronic system based on predictions from the inference engine using an engine action selection component that selects an action based on an output of the inference engine; or creating new data to improve prediction accuracy of the inference engine based on predictions from the inference engine; and    (2) informing a user regarding the condition of an electronic system involving: constructing a component model; predicting a state and a likelihood of failure of the electronic system using an inference engine based on the component model and sensor data from the electronic system; and displaying an identification of the electronic system, a predicted state of the electronic system, and a predicted likelihood of failure of the electronic system.    DESCRIPTION OF DRAWING(S) - The figure shows schematic view of system for monitoring and predicting the condition of an electronic system.