The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC
International Classification:
G06N 5/00
US Classification:
706 25, 382224, 700 83, 715503, 715804
Abstract:
The present invention relates to an Inductive Monitoring System (IMS), its software implementations, hardware embodiments and applications. Training data is received, typically nominal system data acquired from sensors in normally operating systems or from detailed system simulations. The training data is formed into vectors that are used to generate a knowledge database having clusters of nominal operating regions therein. IMS monitors a system's performance or health by comparing cluster parameters in the knowledge database with incoming sensor data from a monitored-system formed into vectors. Nominal performance is concluded when a monitored-system vector is determined to lie within a nominal operating region cluster or lies sufficiently close to a such a cluster as determined by a threshold value and a distance metric. Some embodiments of IMS include cluster indexing and retrieval methods that increase the execution speed of IMS.
Brian J. Glass - Palo Alto CA Liljana Spirkovska - Sunnyvale CA William J. McDermott - Menlo Park CA Ronald J. Reisman - Palo Alto CA James Gibson - Campbell CA David L. Iverson - Sunnyvale CA
Assignee:
The United Sates of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC
International Classification:
G08G 504 G08G 506 G08G 700
US Classification:
705 6
Abstract:
A data management system and method that enables acquisition, integration and management of real-time data generated at different rates, by multiple, heterogeneous incompatible data sources. The system achieves this functionality by using an expert system to fuse data from a variety of airline, airport operations, ramp control, and air traffic control tower sources, to establish and update reference data values for every aircraft surface operation. The system may be configured as a real-time airport surface traffic management system (TMS) that electronically interconnects air traffic control, airline data and airport operations data to facilitate information sharing and improve taxi queuing. In the TMS operational mode, empirical data shows substantial benefits in ramp operations for airlines, reducing departure taxi times by about one minute per aircraft in operational use, translating as $12 to $15 million per year savings to airlines at the Atlanta, Georgia airport. The data management system and method may also be used for scheduling the movement of multiple vehicles in other applications, such as, marine vessels in harbors and ports, trucks or railroad cars in ports or shipping yards, and railroad cars in switching yards.
Method Of Testing And Predicting Failures Of Electronic Mechanical Systems
The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC
International Classification:
G06F 1134
US Classification:
39518302
Abstract:
A method employing a knowledge base of human expertise comprising a reliability model analysis implemented for diagnostic routines is disclosed. The reliability analysis comprises digraph models that determine target events created by hardware failures human actions, and other factors affecting the system operation. The reliability analysis contains a wealth of human expertise information that is used to build automatic diagnostic routines and which provides a knowledge base that can be used to solve other artificial intelligence problems.
Brian J. Glass - Palo Alto CA Liljana Spirkovska - Sunnyvale CA William J. McDermott - Menlo Park CA Ronald J. Reisman - Palo Alto CA James Gibson - Campbell CA David L. Iverson - Sunnyvale CA
Assignee:
The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC
International Classification:
G06F16300 G06F 700 G06F 706 G06F 1740
US Classification:
703 22
Abstract:
A real-time data management system which uses data generated at different rates, by multiple heterogeneous incompatible data sources. In one embodiment, the invention is as an airport surface traffic data management system (traffic adviser) that electronically interconnects air traffic control, airline, and airport operations user communities to facilitate information sharing and improve taxi queuing. The system uses an expert system to fuse data from a variety of airline, airport operations, ramp control, and air traffic control sources, in order to establish, predict, and update reference data values for every aircraft surface operation.