Service Enhanced Recommender

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 to equipment upkeep, such as fixed wing, rotary, auxiliary power units, and ground vehicles, by predicting the most likely point and time of failure. It has a great potential to drive efficiencies, increase readiness, and reduce mishaps. The I-SEER application is designed for complex mechanical systems, and uses historical and streaming physical sensor data and unstructured text from documents to predict mechanical failures, minimize time for determining the root cause of a system failure, minimize time waiting for parts, make the most inferences from the fewest sensors, and recommend 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 aircraft maintenance is performed.

Screenshot of the I-SEER Graphic User Interface

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