David Bruce Augustine

US Patent:

20130079972, Mar 28, 2013

Filed:

Sep 23, 2011

Appl. No.:

13/242652

Inventors:

Peter James Lake - Auburn WA, US
Davis Scott Kinney - Everett WA, US
Anne Kao - Bellevue WA, US
Stephen R. Poteet - Bellevue WA, US
Steven C. Runo - Bellevue WA, US
Jay Kevin McCullough - Belleville IL, US
Steven D. Chapman - O'Fallon MO, US
Yun-Ho Sikora - St. Louis MO, US
David Charles Augustine - Seattle WA, US

International Classification:

G01M 17/00

US Classification:

701 316

Abstract:

Methods and maintenance systems for use in analyzing data related to maintenance of at least one vehicle are disclosed. One example method includes receiving at least one fault message, receiving a maintenance event log for a vehicle. The maintenance event log including at least one maintenance event associated with the at least one fault message. The example method further includes automatically identifying a corrective action within a most recent maintenance event of the at least one maintenance event and storing a diagnostic entry including the at least one fault message and the identified corrective action, such that the diagnostic entry is retrievable from the computing device to evaluate a subsequent like fault message.

US Patent:

20190057098, Feb 21, 2019

Filed:

Oct 22, 2018

Appl. No.:

16/167499

Inventors:

- Chicago IL, US
Nigel Isaac Anthony Kilmer - Woodinville WA, US
David Charles Augustine - Seattle WA, US
Anne Shu-Wan Kao - Bellevue WA, US
Shan Luh - Kenmore WA, US

International Classification:

G06F 17/30

Abstract:

A system and method for event matching by analysis of text characteristics are presented. A document collection comprising documents is acquired. One or more document subsets of the document collection each comprising one or more documents potentially describing identical events are identified based on certain structured metadata fields of the documents. Salient text features are extracted from the documents in the document collection. An event similarity score for pairs of documents in the document collection is generated by comparing the text features extracted from the documents. A common event document list comprising sets of documents in the document collection whose event similarity scores with each other are above a similarity threshold is generated.