Abstract: The systems/methods analyze the vast reservoir of data that is collected in-flight during a commercial aircraft's travels over several months. That data is analyzed to identify and remove data points that do not represent stable cruise. This may be achieved in multiple steps to manage the extremely large data sets. The data points, now representing stable cruise, are further analyzed to identify control surfaces that are out-of-tolerance (i.e., mis-rigged). That information is subsequently utilized to re-rig the identified mis-rigged control surfaces which, in turn, results in increased aircraft fuel efficiencies.

Abstract: The systems/methods analyze the vast reservoir of data that is collected in-flight during a commercial aircraft's travels over several months. That data is analyzed to identify and remove data points that do not represent stable cruise. This may be achieved in multiple steps to manage the extremely large data sets. The data points, now representing stable cruise, are further analyzed to identify control surfaces that are out-of-tolerance (i.e., mis-rigged). That information can be provided to commercial airlines for subsequent use to re-rig the identified mis-rigged aircrafts. Via various methodologies, fuel efficiencies are ascertained to illustrate the potential fuel savings if aircraft are retrofitted with certain drag reduction technology. General aircraft performance may be established via the results of the systems/methods. Poorly performing aircraft also can be identified. Other features and benefits are provided.