Optimal Sensor Selection and Fusion for Heat Exchanger Fouling Diagnosis in Aerospace Systems

Heat exchangers are critical components of the environmental control system (ECS) of an aircraft. The ECS regulates temperature, pressure, and humidity of the cabin air. Fouling of the heat exchangers in an ECS may occur due to the deposition of external substances (e.g., debris) on the fins that ob...

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Bibliographic Details
Published in:IEEE sensors journal 2016-06, Vol.16 (12), p.4866-4881
Main Authors: Najjar, Nayeff, Gupta, Shalabh, Hare, James, Kandil, Sherif, Walthall, Rhonda
Format: Article
Language:English
Subjects:
Cabins
Diagnosis
Ducts
Environmental Control System
Fault Diagnosis
Fouling
Heat Exchanger Fouling
Heat exchangers
Heating
Inference
minimum Redundancy Maximum Relevance (mRMR)
Optimal Sensor Selection
Optimization
Pressure drop
Sensor fusion
Sensor systems
Sensors
Temperature sensors
Turbines
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Summary:Heat exchangers are critical components of the environmental control system (ECS) of an aircraft. The ECS regulates temperature, pressure, and humidity of the cabin air. Fouling of the heat exchangers in an ECS may occur due to the deposition of external substances (e.g., debris) on the fins that obstruct the air flow, which increases the pressure drop across the heat exchanger and degrades its efficiency. Fouling is a critical issue, because it necessitates time consuming, periodic, and expensive maintenance. In this regard, this paper presents a two step process for fouling diagnosis of the heat exchanger: optimal sensor set selection that contains the most relevant information for fault classification and robust data analysis and sensor fusion in the presence of various uncertainties for the inference of fouling severity via different machine learning tools. This process of heat exchanger fouling diagnosis is implemented and tested on the data generated from an experimentally validated high-fidelity Simulink model of the ECS provided by an industry partner.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2016.2549860