Oscar D Kipersztok

6751536, Jun 15, 2004

Dec 4, 2002

10/310165

Oscar Kipersztok - Redmond WA
Glenn A. Dildy - Redmond WA

The Boeing Company - Chicago IL

G06F 1520

701 29, 340945, 340963, 702185, 714 25, 244 1 R

A diagnostic system and method for enabling multistage decision optimization in aircraft preflight dispatch. The diagnostic system includes an interface for receiving one or more inputs relating to one or more observed symptoms indicative of a failed component in an aircraft. The diagnostic system extends an entropy-based value of information (VOI) diagnostic model by adding an explicit value function into the VOI diagnostic model to accommodate various variables associated with the aircraft preflight dispatch problem. The construction of the entropy-based VOI diagnostic model and thus the extended VOI diagnostic model are both based upon at least one of systemic information relating to aircraft components and input-output relationships of the aircraft components, experience-based information relating to direct relationships between aircraft component failures and observed symptoms, and factual information relating to aircraft component reliability.

6868319, Mar 15, 2005

Feb 26, 2003

10/375814

Oscar Kipersztok - Redmond WA, US
Scott L. Nelson - Issaquah WA, US
Glenn A. Dildy - Sammamish WA, US
Susan Chan Chew - Issaquah WA, US

The Boeing Company - Seattle WA

G06F011/30
G06F011/277
G06F011/22

701 29, 701 30, 714 25

A diagnostic system and method are provided that include an interface for receiving input relating to observed symptoms indicative of one or more failed components, a processing element for correlating the input relating to the observed symptoms with at least one suspect component that is capable of causing the observed symptoms upon failure, and a display for presenting information relating to the suspect components. The processing element correlates the input relating to the observed symptoms with the suspect components in accordance with a diagnostic model constructed based upon systemic information, experiential information and factual information. The processing element generally presents the suspect components in a listing prioritized based upon the relative likelihood that the respective suspect components caused the observed symptoms. Additionally, the processing element can present a prioritized listing of tests that can be conducted to refine the identification and prioritization of the suspect components.

7209814, Apr 24, 2007

Mar 12, 2004

10/799989

Oscar Kipersztok - Redmond WA, US
Glenn A. Dildy - Redmond WA, US

The Boeing Company - Chicago IL

G06F 19/00

701 29, 702183, 714 25, 382149

A diagnostic system and method for enabling multistage decision optimization in aircraft preflight dispatch. The diagnostic system includes an interface for receiving one or more inputs relating to one or more observed symptoms indicative of a failed component in an aircraft. The diagnostic system extends an entropy-based value of information (VOI) diagnostic model by adding an explicit value function into the VOI diagnostic model to accommodate various variables associated with the aircraft preflight dispatch problem. The construction of the entropy-based VOI diagnostic model and thus the extended VOI diagnostic model are both based upon at least one of systemic information relating to aircraft components and input-output relationships of the aircraft components, experience-based information relating to direct relationships between aircraft component failures and observed symptoms, and factual information relating to aircraft component reliability.

7644053, Jan 5, 2010

Mar 2, 2005

11/070452

Oscar Kipersztok - Redmond WA, US
Philip Harrison - Seattle WA, US

The Boeing Company - Chicago IL

G06N 5/02

706 46, 706 50

A system, method, and computer program product for combining causal domain models with reasoning and text processing for knowledge driven decision support are provided. A knowledge driven decision support system is capable of creating a domain model, extracting and processing quantities of text according to the domain model, and generating understanding of the content and implications of information sensitive to analysts. An interface may be used to receive input to model complex relationships of a domain, establish implications of interest or request a query, and update the causal model. A processing element can capture and process text into text profiles by incorporating the domain model and process the text profiles in accordance with the domain model by applying formal reasoning to the information to derive trends, predict events, or arrive at other query results. An output element can provide a user the resulting information related to the domain model.

8322658, Dec 4, 2012

Apr 5, 2010

12/754262

Gary R. Gershzohn - Laguna Hills CA, US
David J. Finton - Issaquah WA, US
Oscar Kipersztok - Redmond WA, US
Dragos D. Margineantu - Bellevue WA, US

The Boeing Company - Chicago IL

B64D 25/00

2441292

Technologies are described herein for detecting and recovering from a fire event within an aircraft. The technologies receive sensor data from a number of sensors associated with an aircraft. A determination is made as to whether the sensor data exceeds predefined thresholds indicating the fire event within the aircraft. In response to determining that the sensor data exceeds the predefined thresholds indicating the fire event, the technologies determine a location of the fire event within the aircraft based on the sensor data and depower components of the aircraft associated with the fire event. The technologies then initiate a fire suppressant mechanism within the aircraft directed to the location of the fire event.

8380731, Feb 19, 2013

Dec 13, 2007

11/955903

Oscar Kipersztok - Redmond WA, US

The Boeing Company - Chicago IL

G06F 17/30

707765, 707728, 707E17071

A computer-based searching method is described that includes receiving, at a computer, a search concept that includes a plurality of principal words, determining a set of semantically similar words for at least one of the principal words, calculating a degree of membership for each word in each set that reflects a semantic similarity in meaning to the principal word of the set, performing the search, computing a score based at least on the degrees of membership for the words in the word set, and sorting the results using the computed scores.

8510083, Aug 13, 2013

Jul 31, 2003

10/631697

Oscar Kipersztok - Redmond WA, US
Haiqin Wang - Sammamish WA, US
Ping Xue - Redmond WA, US

The Boeing Company - Chicago IL

G06F 7/60
G06F 17/10

703 2, 706 45

A method, apparatus and computer program product are provided for constructing a diagnostic network model in a more efficient and timely manner and with improved consistency. A structured electronic representation of a document is automatically reviewed to identify the symptoms experienced by the complex system, the plurality of components of the complex system and the causal relationships between a failure of the respective components and the occurrence of the various symptoms. Respective probabilities can be associated with the causal relationships between the symptoms and the failure of the various components. A network model, such as a Bayesian network model, may then be automatically constructed to represent the symptoms, the components, the causal relationships between failure of the components and exhibition of the symptoms, and the probabilities of the respective causal relationships.

8620852, Dec 31, 2013

Dec 16, 2010

12/969711

Oscar Kipersztok - Redmond WA, US
Uri Nodelman - Baltimore MD, US

The Boeing Company - Chicago IL

G06N 5/00

706 52, 706 46, 706 50

Provided are improved systems, methods, and computer programs to facilitate predictive accuracy for strategic decision support using Continuous Time Bayesian Networks. A simple semantic is provided for both probabilistic and temporal relationships that can be automatically translated into functioning Bayesian and Continuous Time Bayesian Network formalisms and applied by a user for reasoning analysis, such as to assess a hypothesis or respond to a query with a probabilistic and temporal prediction of a future event.