Method and architecture for AI-assisted supervision for a controlled system

A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for fault management at a production system, the method comprising:

• obtaining a set of sensor readings and a state of the production system, wherein a respective sensor reading is an output of a sensor in the production system;
• providing the set of sensor readings and the state of the production system to a Reinforcement Learning (RL) agent trained based on data indicating physical states of the production system;
• determining, using the RP agent, whether the set of sensor readings includes at least a faulty reading produced by a corresponding faulty sensor;
• determining an action that adjusts a value of the faulty reading;
• and
• modifying the set of sensor readings based on the action, wherein the modified set of sensor readings is used as an input to a controller that controls the production system.

A computer system, comprising:

• a storage device;
• a processor;
• a non-transitory computer-readable storage medium storing instructions, which when executed by the processor causes the processor to perform a method for fault management at a production system, the method comprising:
• obtaining a set of sensor readings and a state of the production system, wherein a respective sensor reading is an output of a sensor in the production system;
• providing the set of sensor readings and the state of the production system to a Reinforcement Learning (RL) agent trained based on data indicating physical states of the production system;
• determining, using the RL agent, whether the set of sensor readings includes at least a faulty reading produced by a corresponding faulty sensor;
• determining an action that adjusts a value of the faulty reading;
• and
• modifying the set of sensor readings based on the action, wherein the modified set of sensor readings is used as an input to a controller that controls the production system.