Hamilton Sundstrand Corporation

University of Connecticut

Rhonda Walthall

Paul M D'Orlando

Shalabh Gupta

Nayeff A Najjar

James Z Hare

Krishna R Pattipati

Gregory R Leaper

Michael E Mehrer

Walter Ainslie

David Ronald Adair

Andre A Silva

William K Dornfeld

A system and method that determines whether a heat exchanger within a complex networked system is fouling is provided. The system and method includes training classifiers indicative of a plurality of fouling conditions associated with the heat exchanger and testing the classifiers with optimal sensor data from optimal sensors to determine whether the fouling is being experienced by the heat exchanger.

Computer program product for optimal sensor selection and fusion for heat exchanger fouling diagnosis in aerospace systems

Method of optimal sensor selection and fusion for heat exchanger fouling diagnosis in aerospace systems

A method and apparatus for estimating a fouling state of a heat exchanger of an aircraft. Training sensor measurements are obtained of a parameter related to operation of the heat exchanger and a wavelet transform is applied to the training sensor measurements to obtain wavelet data. Data reduction is performed on the wavelet data to obtain representative features indicative of the training sensor measurements. A classifier is then trained to assign suitable fouling classes to the representative features. The trained classifier is used on testing sensor measurements from the heat exchanger to assign a fouling class to the testing sensor measurements in order to estimate the fouling state of the heat exchanger.

Wavelet-based analysis for fouling diagnosis of an aircraft heat exchanger

A hierarchical fault detection and isolation system, method, and/or computer program product that facilitates fault detection and isolation in a complex networked system while reducing the computational complexity and false alarms is provided. The system, method, and/or computer program product utilizes a system level isolation and detection algorithm and a diagnostic tree to systematically isolate faulty sub-systems, components, etc. of the complex networked system.

System level fault diagnosis for the air management system of an aircraft

A method of determining lubrication oil consumption in a gas turbine engine that has an engine operating cycle interval comprising a starting phase, a running phase and a shutdown phase, comprises the steps of: measuring lubrication oil level upon initialization of the starting phase of each engine operating cycle interval; comparing the starting phase measured lubrication oil level during the starting phase with a starting phase baseline lubrication measurement; recording the starting phase lubrication oil level measurement; determining average engine lubrication oil consumption rate during the complete engine operating cycle interval by dividing the difference between the starting phase lubrication oil measurement and the baseline lubrication oil measurement; and repeating these steps for each subsequent engine operating cycle interval; wherein the starting phase baseline lubrication oil level measurement is initially a predetermined lubrication oil level and then the previous starting phase lubrication oil measurement for subsequent engine operating cycle intervals.

Method for determination of engine lubrication oil consumption

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Escondido, CA, United States of America

Rhonda Walthall