System And Method for Predicting End of Run for Equipment and Components of Such Equipment Based on Field Inspection and Operational Data

A computer readable medium comprising computer executable instructions for monitoring equipment, the computer executable instructions comprising instructions for:

• obtaining a trained model for an item, the item comprising equipment or a component of the equipment, the model having been trained using historical operational data of the type of equipment, and historical wear data acquired by inspecting the type of equipment and/or the type of component;
• using the trained model to generate an end-of-run prediction for the item using current or post service field inspection data for the item;
• analyzing the end-of-run prediction to determine a maintenance recommendation;
• and
• generating an output based on the prediction.

An equipment monitoring system, comprising:

• one or more processors;
• and
• memory, the memory storing computer executable instructions that, when executed by the one or more processors, cause the system to:
• obtain a trained model for an item, the item comprising equipment or a component of the equipment, the model having been trained using historical operational data of the type of equipment, and historical wear data acquired by inspecting the type of equipment and/or the type of component;
• use the trained model to generate an end-of-run prediction for the item using current or post service field inspection data for the item;
• analyze the end-of-run prediction to determine a maintenance recommendation;
• and
• generate an output based on the prediction.