Benjamin O Hall

US Patent:

20140007591, Jan 9, 2014

Filed:

Jul 3, 2012

Appl. No.:

13/541197

Inventors:

Alexander I. Khibnik - Glastonbury CT, US
Benjamin D. Hall - Glastonbury CT, US

International Classification:

G01H 11/00
F02C 7/00
G06F 19/00
F02C 3/04

US Classification:

60805, 73649, 702 56

Abstract:

A disclosed airfoil health monitoring system and method obtains a signal comprising a waveform indicative of an airfoil path with a sensor. Features of the waveform are determined and compared waveform characteristics indicative of a vibrational mode. A vibrational mode of the airfoil may then be determined based on the comparison between the predetermined waveform characteristics and the obtained waveform indicative of the airfoil path.

US Patent:

20230036153, Feb 2, 2023

Filed:

Sep 2, 2021

Appl. No.:

17/464837

Inventors:

- Farmington CT, US
Benjamin D. Hall - Glastonbury CT, US
Emily Carolyn Roto Coleman - Worcester MA, US
Cami Santor - Glastonbury CT, US
Eric D. Kachel - Vernon CT, US
Alex J. Brown - Vernon CT, US

International Classification:

G01M 15/14
G06F 30/20
F02C 7/32

Abstract:

A process for scheduling engine inspection for a gas turbine engine includes computing an expected damage increment based on aircraft usage data of a single flight, computing a cumulative expected damage by summing the expected damage increment with a total set of historical expected damage increments since a previous maintenance, and determining an aggregate risk of failure based on the computed cumulative expected damage. A manual inspection is signaled when the aggregate risk of failure exceeds an acceptable risk threshold.

US Patent:

20140358500, Dec 4, 2014

Filed:

Dec 19, 2013

Appl. No.:

14/134530

Inventors:

- Hartford CT, US
Benjamin D. Hall - Glastonbury CT, US
Lauren Gray - Newington CT, US
Ming-Ta Yang - Carlisle MA, US
Perry Bowes - Manchester CT, US

Assignee:

United Technologies Corporation - Hartford CT

International Classification:

G06F 17/50

US Classification:

703 2, 703 7

Abstract:

A novel probabilistic method for analyzing high cycle fatigue (HCF) in a design of a gas turbine engine is disclosed. The method may comprise identifying a component of the gas turbine engine for high cycle fatigue analysis, inputting parametric data of the component over a predetermined parameter space into at least one computer processor, using the at least one computer processor to build a plurality of flexible models of the component based on the parametric data of the component over the predetermined parameter space, using the at least one computer processor to build a plurality of emulators of the component based on the plurality of flexible models, and using the at least one computer processor to predict a probability of HCF based at least in part on the parametric data of the component over the predetermined parameter space and the plurality of emulators.