Identifying Machine Substates

A system, comprising:

• a memory subsystem;
• and
• processing circuitry, the processing circuitry configured to execute instructions stored in the memory subsystem to:
• receive state data transmitted from a machine, wherein the state data include telemetry data from one or more sensors on the machine, and the telemetry data are collected at a specified frequency;
• process the state data to obtain transformed data;
• input the transformed data into a machine-learning model, wherein the machine-learning model is configured to output an operational substate of the machine based on the transformed data;
• generate, using the machine-learning model, a substate prediction of the machine, wherein the substate prediction includes a probability value for each possible substate;
• and
• output the substate prediction to a user interface for display.

One or more non-transitory computer-readable storage media comprising instructions that, when executed by one or more processors, perform operations for predicting a substate of a machine, the operations comprising:

• receiving, by a server, state data transmitted from the machine, wherein the state data include telemetry data from one or more sensors on the machine, and the telemetry data are collected at a specified frequency;
• processing, by the server, the state data to obtain transformed data;
• inputting the transformed data into a machine-learning model, wherein the machine-learning model is configured to output an operational substate of the machine based on the transformed data;
• generating, using the machine-learning model, a substate prediction of the machine, wherein the substate prediction includes a probability value for each possible substate;
• and
• outputting the substate prediction to a user interface for display.