Lockheed Martin Corporation

Lorie R Ingraham

Gregory Anthony Harrison

James H Crutchfield, Jr

Harold W Nelson

Ross Hall

Embodiments include a method and system for conducting human performance assessment comprising memory devices for accessing and storing historical data from multiple sources of unstructured and structured assessment source data for a subject. The unstructured assessment source data includes free-form source data. The system includes a computing system with a user interface presented on a digital display device to enter assessment query (AQ) relating to the subject. The system includes a natural language processing engine to process an unstructured data search model based on the AQ and a semantic reasoner engine to apply unstructured and structured data search model to the assessment domain ontology for the subject to measure human performance and at the same time identify performance gaps. The system includes an assessment report generator to generate a report of the performance and gap assessments wherein the report is configured to be displayed on the display device.

Method, system and computer-readable storage medium for conducting on-demand human performance assessments using unstructured data from multiple sources

A method for determining a root cause of a problem in a multiple-element system includes correlating an incoming alarm signal with an element x in a multiple-element system and accessing an implication list comprising a list of all elements upstream of element x. At least one element on the implication list is weighted with data relating to the at least one element. Taking into account the weighting step, a probability is calculated that an element on the implication list comprises a most-probable root cause of the subsequent alarm signal. The identified most-probable root cause of the incoming alarm signal is output.

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Orlando, FL, United States of America

Lorie R Ingraham