SYSTEM AND METHOD FOR TURBINE ENGINE FAULT DETECTION USING DISCRETE EVENT SYSTEM MODELING

Patent №

US 7,369,932

Granted

2008-05-06

Filed 2006

Owner

HONEYWELL INTERNATIONAL, INC.

Lab

AI components

3

ml · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11418992

A system and method is provided for fault detection in a turbine engine. The fault detection system and method uses discrete event system modeling to provide improved fault diagnosis and prognosis. The fault detection system and method receives sensor taken at multiple dynamic events occurring in different time windows. An event determination mechanism evaluates the received sensor data to determine if specified events have occurred. Indications of the occurrence of specified events are then passed to a discrete event system model. The discrete event system model analyzes the timing and sequencing of the event occurrences to determine if a fault has occurred. This method does not require a detailed modeling of the system, and thus can be applied to complex systems such as turbine engines.

Machine learningKnowledge representationPlanningF01D 21/00F01D 21/003F01D 21/14G05B 23/0235F05D 2270/09F05D 2270/44F05D 2270/708F05D 2270/709

AI classification

Planning1.00
Knowledge representation0.96
Machine learning0.87
AI hardware0.02
Evolutionary computation0.01
Natural language0.01
Vision0.00
Speech0.00

Ownership

HONEYWELL INTERNATIONAL, INC.

assignment · 178760394

Assignors

KIM, KYUSUNG, MYLARASWAMY, DINKAR, STURM, DOUG

On an employer assignment, the assignors are typically the inventors.

From the same owner

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