Joseph Theodore Rice

US Patent:

20200369410, Nov 26, 2020

Filed:

May 20, 2019

Appl. No.:

16/417065

Inventors:

- Chicago IL, US
Joseph Rice - Lake Stevens WA, US

International Classification:

B64F 5/60
G06N 20/00
B64D 45/00

Abstract:

A method of supporting off-wing maintenance of an engine of a specific aircraft includes accessing flight data for a plurality of aircraft including measurements of properties from sensors or avionic systems, and maintenance data that indicates past maintenance or off-wing maintenance of a corresponding engine of each aircraft. A machine learning model is built to predict a life expectancy of the engine of the specific aircraft, measured to future off-wing maintenance of the engine, using a machine learning algorithm, and a set of features produced from selected properties. The machine learning model is built further using a training set produced from the set of features, the flight data including measurements of the selected properties, and the maintenance data. The machine learning model is then output for deployment to predict and thereby produce a prediction of the life expectancy of the engine of the specific aircraft from distinct flight data.

US Patent:

20200042889, Feb 6, 2020

Filed:

Aug 2, 2018

Appl. No.:

16/053168

Inventors:

- Chicago IL, US
Joseph F. RICE - Lake Stevens WA, US
Andrey A. ZAIKIN - Renton WA, US

International Classification:

G06N 5/04
G06N 99/00
G06Q 10/06
G06Q 50/04

Abstract:

Techniques for automatically manufacturing mechanical parts are described. A first estimate of manufacturing cost for a first mechanical part is generated using a first machine learning model. In response to determining that the first estimate of manufacturing cost for the first mechanical part falls within a range of effectivity for the first machine learning model, a second estimate of manufacturing cost for the first mechanical part is generated using a second machine learning model. An expected cost error in the second estimate of manufacturing cost for the first mechanical part is determined, and upon determining that the expected cost error falls within a pre-determined acceptable range, automatic manufacturing of the first mechanical part is facilitated.