David Michael Kolbet from Wausau, WI, age 61

Us Patents

Method And Apparatus For Improving Fault Isolation
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US Patent:

6748304, Jun 8, 2004
Filed:

Aug 16, 2002
Appl. No.:

10/222397
Inventors:

Timothy J. Felke - Glendale AZ
David M. Kolbet - Glendale AZ
John F. Stone - Mesa AZ
Jeff J. van der Zweep - Peoria AZ
Assignee:

Honeywell International Inc. - Morristown NJ
International Classification:

G06F 1900
US Classification:

701 29
Abstract:

A method for improving fault isolation for failure modes in complex systems, and a software program embodying the method or a corresponding method together with a computer based aircraft diagnostic system using such software is described. The method includes: capturing a set of symptoms that is consistent with a failure mode of the complex system; identifying a set of repairs for the complex system that are consistent with the set of symptoms; ranking, when the set of repairs includes more than one repair, the repairs in a sequence that will minimize an average cost to repair the complex system, the sequence including a historical component and reflecting the effectiveness of available test results to resolve each the repairs; determining possible tests that are consistent with the failure mode; and ranking the possible tests according to there respective net improvement in the average cost to repair the complex system.

Relational Database For Maintenance Information For Complex Systems
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US Patent:

6829527, Dec 7, 2004
Filed:

Aug 26, 2002
Appl. No.:

10/228622
Inventors:

Timothy J. Felke - Glendale AZ
David M. Kolbet - Glendale AZ
Michael W. Stinson - Glendale AZ
John F. Stone - Mesa AZ
Jeff J. van der Zweep - Peoria AZ
Assignee:

Honeywell International Inc. - Morristown NJ
International Classification:

G06F 1900
US Classification:

701 29, 701 33, 701 35, 707102
Abstract:

A relational database is for relating maintenance information that differs for each of a plurality of complex systems, such as a plurality of differing aircraft, using a common database structure so as to facilitate maintenance procedures for the plurality of complex systems. The database structure comprises: a plurality of primary entities for providing a fault model description of each of the plurality of complex systems, the fault model description including, for each of the plurality of complex systems, failure modes, symptoms and data required to effect a repair; and a categorical entity corresponding to a complex system, such as an aircraft, that enables selection of the fault model description corresponding to the complex system or aircraft. The relational database is particularly suited for use in or by an aircraft maintenance and diagnostic system that assists with fault correction for a fault condition within an aircraft based on a fault model for the aircraft.

Methods And Systems For Computation Of Probabilistic Loss Of Function From Failure Mode
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US Patent:

8095337, Jan 10, 2012
Filed:

Oct 2, 2008
Appl. No.:

12/244637
Inventors:

David Kolbet - Scottsdale AZ, US
Qingqiu Ginger Shao - Oro Valley AZ, US
Randy Magnuson - Scottsdale AZ, US
Bradley John Barton - Albuquerque NM, US
Akhilesh Maewal - San Diego CA, US
Assignee:

Honeywell International Inc. - Morristown NJ
International Classification:

G06F 11/30
US Classification:

702182
Abstract:

A method for determining a probabilistic loss of function of a system includes the steps of determining a plurality of failure mode probabilities, ranking a plurality of functions pertaining to the failure mode probabilities, and identifying a likely function at least substantially lost by the system based at least in part on the plurality of failure mode probabilities and the ranking.

Recursive Structure For Diagnostic Model
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US Patent:

8170968, May 1, 2012
Filed:

Aug 15, 2008
Appl. No.:

12/192700
Inventors:

John C. Colclough - Albuquerque NM, US
Timothy J. Felke - Glendale AZ, US
George D. Hadden - Plymouth MN, US
David M. Kolbet - Glendale AZ, US
Randy Magnuson - Scottsdale AZ, US
Assignee:

Honeywell International Inc. - Morristown NJ
International Classification:

G06F 17/00
G06N 5/00
US Classification:

706 45
Abstract:

A recursive mapping structure for diagnostic models is provided. A parent diagnostic model includes a first input module, a first output module, a first monitor module coupled to the first input and first output modules, and a first propagation module coupled between the first input and first output modules. A child diagnostic model includes a second input module, a second output module, a second monitor module coupled to the second input and second output modules, and a second propagation module coupled between the second input and second output modules, wherein the second monitor module is coupled to the first monitor module.

Fault Splitting Algorithm
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US Patent:

8175846, May 8, 2012
Filed:

Feb 5, 2009
Appl. No.:

12/366472
Inventors:

Asif Khalak - Phoenix AZ, US
C. Arthur Dins - Minneapolis MN, US
Bradley John Barton - Albuquerque NM, US
Randy Magnuson - Scottsdale AZ, US
Qingqiu Ginger Shao - Oro Valley AZ, US
David Michael Kolbet - Scottsdale AZ, US
Assignee:

Honeywell International Inc. - Morristown NJ
International Classification:

G06F 19/00
US Classification:

702181, 702183, 714 1
Abstract:

The present application relates to a method of splitting a fault condition including receiving evidence observations of a monitored system from monitors connected in a many-to-many relationship to the failure modes, generating a fault condition, computing a relative probability of failure for each failure mode in the fault condition. When there is more than one failure mode in the fault condition, the method includes computing a relative probability of each pair of failure modes in the fault condition, ranking the computed relative probabilities of the individual failure modes and the computed relative probabilities of the pairs of failure modes. If the highest ranked failure mode is a pair of failure modes, the fault condition is split based on the failure modes in the highest ranked pair of failure modes are split. If the highest ranked failure mode is an individual failure mode, a failure is isolated based on the ranking.

Prediction Of Functional Availability Of Complex System
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US Patent:

8195595, Jun 5, 2012
Filed:

Jun 30, 2008
Appl. No.:

12/165440
Inventors:

Timothy J. Felke - Glendale AZ, US
George D. Hadden - Plymouth MN, US
David M. Kolbet - Scottsdale AZ, US
Randy Magnuson - Scottsdale AZ, US
Assignee:

Honeywell International Inc. - Morristown NJ
International Classification:

G06F 9/44
G06N 7/02
G06N 7/06
US Classification:

706 52, 706900
Abstract:

A method, system, and computer program product for predicting the functional availability of a complex system is provided. Parameters of the complex system are converted from a plurality of binary values to at least one prognostic vector. At least a portion of a binary input expression is converted into an equivalent fuzzy output expression, the fuzzy output expression operable on the at least one prognostic vector.

Method For Computing The Relative Likelihood Of Failures
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US Patent:

8224765, Jul 17, 2012
Filed:

Feb 5, 2009
Appl. No.:

12/366475
Inventors:

Asif Khalak - Phoenix AZ, US
C. Arthur Dins - Minneapolis MN, US
Bradley John Barton - Albuquerque NM, US
David Michael Kolbet - Scottsdale AZ, US
Qingqiu Ginger Shao - Oro Valley AZ, US
Randy Magnuson - Scottsdale AZ, US
Assignee:

Honeywell International Inc. - Morristown NJ
International Classification:

G06F 11/30
G06N 5/02
US Classification:

706 52
Abstract:

A method for determining relative likelihood of a failure mode is provided. The method comprises receiving evidence observations of a monitored system from monitors connected in a many-to-many relationship to the failure modes, generating a fault condition including states of all failure modes that are connected to the monitors, and computing a relative probability of failure for each failure mode. The fault condition is generated for a reference model of the monitored system and is based on the received evidence observations. The relative probability of failure for each failure mode is based on a false alarm probability, a detection probability, and a ratio of prior probabilities of a candidate hypothesis to a null hypothesis of no active failure mode.

Noisy Monitor Detection And Intermittent Fault Isolation
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US Patent:

8386849, Feb 26, 2013
Filed:

Jan 29, 2010
Appl. No.:

12/696877
Inventors:

Qingqiu Ginger Shao - Oro Valley AZ, US
Randy R. Magnuson - Scottsdale AZ, US
Dave Miller - Minneapolis MN, US
Bradley John Barton - Albuquerque NM, US
David Michael Kolbet - Scottsdale AZ, US
Assignee:

Honeywell International Inc. - Morristown NJ
International Classification:

G06F 11/00
US Classification:

714 25, 714 37, 714 48
Abstract:

A method of detecting and diagnosing system faults, includes detecting the noisy status of a monitor during operations and incorporating a quantified monitor uncertainty level to support fault isolation reasoning. A sequential probability ratio test is used to statistically test the noisy status of a monitor and Shannon's entropy theory is used to quantify the uncertainty levels of the monitor to support the use of the monitor values in fault isolation.