Abstract: Information regarding flight schedules, available aircraft, and maintenance information is received from one or more systems. A graph database is generated based on the received information. A graph traversal algorithm is applied to the graph database to determine an assignment of the available aircraft to the flight schedules based on reducing a risk of aircraft-on-ground at a remote location, reducing actual costs, or reducing a time cost.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.