Abstract: A method of building a model, including: receiving, a hierarchical tree structure representative of a system, the hierarchical tree structure defines a node associated with a hardware; collecting data associated with the hardware component, the data associated with a time stamp, the data comprises observational data associated with the physical system; derive, based on the data, node states of the node including first and second node states, wherein a first node state defines a first state of the node, and a second node state defines a second state of the node; building a finite state machine (FSM) model, the FSM model defines a sequence of states associated with the node, based at least in part on the time stamp, the FSM model is part of an overall finite state machine of the physical system; and creating the model of the physical system based on the overall finite state machine.

Abstract: A method of building a model, including: receiving, a hierarchical tree structure representative of a system, the hierarchical tree structure defines a node associated with a hardware; collecting data associated with the hardware component, the data associated with a time stamp, the data comprises observational data associated with the physical system; derive, based on the data, node states of the node including first and second node states, wherein a first node state defines a first state of the node, and a second node state defines a second state of the node; building a finite state machine (FSM) model, the FSM model defines a sequence of states associated with the node, based at least in part on the time stamp, the FSM model is part of an overall finite state machine of the physical system; and creating the model of the physical system based on the overall finite state machine.