Abstract: The present invention provides a performance mathematical representation for monitoring trend on engine condition from field engine data. Field engine performance data from multiple engine samples are provided and adjusted according to its associated average performance and an improved performance mathematical representation is constructed using the adjusted data.

Abstract: A method and system are disclosed for removing very low frequency noise from a time-based data set for use in data analysis of the time-based data set having a plurality of data points, the method comprising providing the time-based data set to be analyzed, determining a baseline value from at least a portion of the data set, smoothing the data set to diminish an effect of extraneous data points and obtain smoothed data, wherein the smoothing includes using a Fast Fourier Transform (FFT) algorithm to transfer the time-based data set into a frequency based data set, attenuating low frequencies of the frequency-based data set and using an inverse Fourier Transform (FFT) algorithm to transfer the attenuated frequency based data set into an attenuated time-based data set.

Abstract: A method and system are disclosed for comparing a data set to a baseline value for use in data analysis of the data set having a plurality of data points, the method comprising providing the data set to be analyzed, locating potentially bad data points in at least a portion of the data set using an odd-man out recursive technique, preparing a baseline set by discarding the potentially bad data points from the at least a portion of the data set and calculating a baseline value from the baseline set.

Abstract: A method for comparing a data set to a baseline value comprising: providing the data set to be analyzed; locating potentially bad data points in at least a portion of the data set using an odd-man out recursive technique; preparing a baseline set by discarding the potentially bad data points from the at least a portion of the data set; and calculating a baseline value from the baseline set.

Abstract: A method for comparing a data set to a baseline value comprising: providing the data set to be analyzed; locating potentially bad data points in at least a portion of the data set using an odd-man out recursive technique; preparing a baseline set by discarding the potentially bad data points from the at least a portion of the data set; and calculating a baseline value from the baseline set. A method for smoothing a data set comprising: providing the data set to be analyzed; determining a baseline value from at least a portion of the data set; smoothing the data set to diminish an effect of extraneous data points and obtain smoothed data, wherein the smoothing includes using a low-point weighted average and regression technique.

Abstract: The system provides engine maintenance information automatically from fault code data received from an onboard engine performance monitoring computer. The maintenance information is provided by an HTML repair guide electronically called by the control system using the fault code as part of the page address in the HTML guide. The control system automatically ensures that all fault codes are responded to, i.e. that maintenance personnel carry out the appropriate maintenance actions in response to each and every fault code, with a view to improve quality assurance of maintenance. Maintenance actions of maintenance personnel are automatically for the purposes of validating and/or generating warranty claim applications. The system also has a warranty claim report generator for processing aircraft maintenance action log data.

Abstract: The system provides engine maintenance information automatically from fault code data received from an onboard engine performance monitoring computer. The maintenance information is provided by an HTML repair guide electronically called by the control system using the fault code as part of the page address in the HTML guide. The control system automatically ensures that all fault codes are responded to, i.e. that maintenance personnel carry out the appropriate maintenance actions in response to each and every fault code, with a view to improve quality assurance of maintenance. Maintenance actions of maintenance personnel are automatically recorded for the purposes of validating and/or generating warranty claim applications. The system also has a warranty claim report generator for processing aircraft maintenance action log data.