Synthesis of troubleshooting response documentation for power generation devices

Non-transitory machine-readable media configured to store instructions thereon, the instructions configured to, when executed, cause a machine to:

• determine a current condition is present at a first power generation device with a first power generation device type;
• predict, using a power generation device fault model and historical data particularized to the first power generation device, a fault stack and a predicted fault identifier for the first power generation device type, based on the current condition;
• access a datastore of troubleshooting documentation for at least a second power generation device type different from the first power generation device type;
• apply language processing to the datastore of troubleshooting documentation to determine a documented troubleshooting response associated with at least a documented fault identifier for the second power generation device type;
• determine, using the language processing and based on the predicted fault identifier and/or the fault stack, that the documented fault identifier for the second power generation device type corresponds to the predicted fault identifier for the first power generation device type;
• apply generative language processing using the documented troubleshooting response to generate a synthesized troubleshooting response including a natural language description of an action particularized to at least the first power generation device type;
• and
• generate a troubleshooting message including the synthesized troubleshooting response;
• and
• send, via network interface circuitry, the troubleshooting message to an operator associated with the first power generation device.

A system including:

• troubleshooting response synthesis circuitry configured to:
• determine a current condition is present at a first power generation device with a first power generation device type;
• predict, using a power generation device fault model and historical data particularized to the first power generation device, a fault stack and a predicted fault identifier for the first power generation device type, based on the current condition;
• access a datastore of troubleshooting documentation for at least a second power generation device type different from the first power generation device type;
• apply language processing to the datastore of troubleshooting documentation to determine a documented troubleshooting response associated with at least a documented fault identifier for the second power generation device type;
• determine, using the language processing and based on the predicted fault identifier and/or the fault stack, that the documented fault identifier for the second power generation device type corresponds to the predicted fault identifier for the first power generation device type;
• apply generative language processing using the documented troubleshooting response to generate a synthesized troubleshooting response including a natural language description of an action particularized to at least the first power generation device type;
• and
• generate a troubleshooting message including the synthesized troubleshooting response;
• and
• network interface circuitry configured to send the troubleshooting message to an operator associated with the first power generation device.

A method including:

• responsive to a first fault identifier, determining that a documented fault description for the first fault identifier is not present within a datastore of troubleshooting documentation for a first power generation device;
• after determining that the documented fault description is not present within the datastore:
• ranking, based on fault descriptions associated with the power generation device for fault identifiers other than first fault identifier, multiple candidate fault descriptions associated with one or more second fault identifiers different from the first fault identifier;
• selecting from the multiple candidate fault descriptions, a highest-ranked candidate fault description and multiple top-tier candidate fault descriptions other than the highest-ranked candidate fault description;
• combining the multiple top-tier candidate fault descriptions to form a synthetic candidate fault description;
• re-ranking the highest-ranked candidate fault description in view of the synthetic candidate fault description;
• and
• based on the re-ranking, determining which of the highest-ranked candidate fault description and the synthetic candidate fault description to associate with the first fault identifier.

A method of generating a synthetic text for a troubleshooting response for a fault including:

• for each of multiple first candidate prompts for a first field of the troubleshooting response:
• selecting, via a large language model and from a fault description for the fault, one or more words for the candidate prompt;
• and
• analyzing the candidate prompt to determine a similarity to the fault description and/or one or more existing proxy descriptions to obtain a ranking for the candidate prompt among the multiple candidate prompts;
• selecting from among multiple first candidate prompts highest-ranked candidate prompt;
• and
• executing, via the large language model, a chained selection of multiple second candidate prompts for a second field of the troubleshooting response using the highest-ranked candidate prompt as a trigger, where:
• chaining selection of prompts for multiple fields of the troubleshooting response enforces coherence among prompt responses for the troubleshooting response.