The I-SEER, Intelligent Fusion Technology’s – SErvice Enhanced Recommender, is a data analysis web application for condition-based predictive maintenance (CBPM).

CBPM provides insight into equipment upkeep, such as fixed wing, rotary, auxiliary power units, and ground vehicles. I-SEER calculates a probable point and time of failure. It has great potential to drive efficiency, increase readiness, and reduce mishaps.

The I-SEER application is designed for complex mechanical systems. It uses historical and streaming physical sensor data, along with unstructured text from documents, to predict mechanical failures. Ultimately, I-SEER minimizes time for determining the root cause of a system failure and wait time for parts. By making the most inferences from the fewest sensors, I-SEER can advise maintenance activities based on a user-defined acceptable risk. Due to the flexible web-based or application service architecture, I-SEER can be deployed anywhere that aircraft maintenance is performed.