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Described are techniques for selecting options used with current sensor data characterizing vibration caused by rotating blades. Sets of other sensor data are evaluated to determine a first of the sets of other sensor data that is a best match for said current sensor data. Each of the sets of other

Described are techniques for selecting options used with current sensor data characterizing vibration caused by rotating blades. Sets of other sensor data are evaluated to determine a first of the sets of other sensor data that is a best match for said current sensor data. Each of the sets of other sensor data is associated with one of a plurality of option sets. Each option set includes options used in determining one or more adjustments that may be applied to the blades to reduce vibration. The one or more sets of other sensor data are evaluated to determine a first of the sets of other sensor data that is a best match for said current sensor data. A first of the plurality of option sets associated with said first set of sensor data is used in determining adjustment(s) that may be applied to the blades.

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1. A computer implemented method of selecting options for use with current sensor data comprising: receiving, using a processor, the current sensor data characterizing vibration caused by rotating blades;evaluating, using a processor, one or more sets of other data to determine a first of the one or

1. A computer implemented method of selecting options for use with current sensor data comprising: receiving, using a processor, the current sensor data characterizing vibration caused by rotating blades;evaluating, using a processor, one or more sets of other data to determine a first of the one or more sets of other sensor data that is a best match for said current sensor data, each of said one or more sets of other sensor data being associated with one of a plurality of option sets, each of said plurality of option sets including one or more options selected as active in connection with determining one or more adjustments to the blades to reduce vibration, wherein said one option set associated with said each set of other sensor data indicates options previously determined as appropriate for use in connection with determining adjustments to the blades when said each set of other sensor data characterizes a current state of vibration caused by rotating the blades, each of said one or more sets of other sensor data being associate with a weight denoting a preference of said each set of other sensor data set, wherein a first of said sets of other sensor data has a first weight and a second of said sets of other sensor data has a second weight, and wherein if said first set of other sensor data has a larger variance than said second set, said first weight is less than said second weight;determining, in accordance with said evaluating, that a first of the plurality of option sets associated with said first set of other sensor data identifies a best set of one or more options including one or more adjustment types for use in determining one or more adjustments to the blades given the current sensor data; anddetermining said one or more adjustments to the blades, wherein said determining is performed using a processor and the first option set associated with said first set of other sensor data, wherein said first option set identifies one or more options which are active and said determining determines an adjustment from different candidate adjustments for each option that is identified as active in said first option set and denotes an adjustment type. 2. The computer implemented method of claim 1, wherein each of said plurality of option sets indicates selection of options from a plurality of options, said plurality of options including at least one of a plurality of adjustment types, whether to determine an adjustment using vibration sensor data alone or in combination with track split data, and one or a plurality of solution strategies. 3. The computer implemented method of claim 2, wherein said first option set includes said one or more of said adjustment types and a first of said plurality of solution strategies. 4. The computer implemented method of claim 3, further comprising: determining an adjustment to the blades in accordance with options of said first option set, said adjustment being a best adjustment determined by evaluating different combinations of adjustments of said one or more adjustment types including in said first option set using said first solution strategy. 5. The computer implemented method of claim 2, wherein said plurality of adjustment types includes a weight adjustment, a pitch control rod adjustment, and or more tab adjustments. 6. The computer implemented method of claim 1, wherein said sets of other sensor data are associated with said weights used as values used to weight said sets of other sensor data when evaluating which of said sets of other sensor data is best match for said current sensor data. 7. The computer implemented method of claim 6, wherein said evaluating includes determining, for each set of other sensor data, a normalized distance between said current sensor data and said each set of other sensor data. 8. The computer implemented The method of claim 7, wherein said normalized distance is squared and weighted using said weight associated with said each set of other sensor data. 9. The computer implemented method of claim 1, wherein said one or more sets of other sensor data includes sensor data for a plurality of different sensors. 10. The computer implemented method of claim 9, wherein said one or more sets of other sensor data includes sensor data for at least one sensor at a plurality of different flight regimes. 11. The computer implemented method of claim 9, wherein at least one of the plurality of different sensor is a virtual sensor. 12. The computer implemented method of claim 1, wherein said one or more sets of other sensor data includes sensor data for one or more different vibration shaft orders. 13. A computer implemented method of selecting options for use with current sensor data comprising: receiving, using a processor, the current sensor data characterizing vibration caused by rotating blades;evaluating, using a processor, one or more sets of other sensor data to determine a first of the one or more sets of other sensor data that is a best match for said current sensor data, each of said one or more sets of other sensor data being associated with one of a plurality of option sets, each of said plurality of option sets including one or more options for use in connection with determining one or more adjustments to the blades to reduce vibration, wherein said one option set associated with said each set of other sensor data indicates options previously determined as appropriate for use in connection with determining adjustments to the blades when said each set of other sensor data characterizes a current state of vibration caused by rotating the blades; andusing a processor and a first of the plurality of option sets associated with said first set of other sensor data in connection with determining one or more adjustments to the blades, wherein said sets of other sensor data are associated with values used to weight said sets of other sensor data when evaluating which of said sets of other sensor data is a best match for said current sensor data, wherein said evaluating includes determining, for each set of other sensor data, a normalized distance between said current sensor data and said each set of other sensor data, wherein said normalized distance is squared and weighted, and wherein there are K sets of other sensor data, each of said sets of other sensor data represented as Mi “i” ranging from 1 to K, inclusively, and the method includes determining, for each Mj,j ranging from 2 to K, inclusively: Hj=(z-M1)2⁢INF1-(z-Mj)2⁢INFj+In[∏INFj∏INF1] with respect to M1 and each Mj, where Hj represents an equation for hypothesis testing associated with the sets of other sensor data Mi and Mj, INF1 and INFj represent weighting factors, II INF1 represents a mathematical product of weighting factors associated with INF1, II INFJ represents a mathematical product of weighting factors associated with INFj, and z represents the current sensor data. 14. The computer implemented method of claim 13, wherein one of said option sets is associated with each Mi and the method includes: selecting an option set associated with M1 as said first option set if all Hj values are less than zero, Hj being determined with respect to M1 and Mj, and otherwise, determining which one of said “j” sets of other sensor data produces a maximum Hj value, and selecting, as said first option set, an option set associated with said one set of sensor data producing the maximum Hj value. 15. A system that determines adjustments to decrease vibration caused by rotating blades comprising: a data store including a priori information about what one or more options are appropriate for use in connection with determining one or more adjustments that may be applied to the blades for each of different sets of sensor data;an option selection component that evaluates said different sets of sensor data to determine which of said different sets of sensor data is a best match for a current set of sensor data characterizing a current state of measured vibration of the rotating blades, said option selection component selecting the one or more options which are included in said a priori information denoting options selected as active when determining adjustments for the blades, and which are associated with a first of said different sets of sensor data determined as the best match, wherein said one or more options selected are identified as a best set of one or more options including one or more adjustment types for use in determining one or more adjustments to the blades given the current sensor data, wherein said a priori information includes a weight associated with each of said different sets of sensor data denoting a preference of said each different set of sensor data, wherein a first of said different sets of sensor data has a first weight and a second of said different sets of sensor data has a second weight, and wherein if said first of said different sets of sensor data has a larger variance than said second of said different sets of sensor data, said first weight is less than said second weight; and an adjustment determination component that determines one or more adjustments which are best adjustments in accordance with said one or more options selected by the option selection component; andwherein the one or more options selected by the option selection component identify those options which are active when the one or more adjustments are determined by the adjustment determination component whereby the adjustment determination component determines an adjustment from different candidate adjustments for each option that is identified as active by the option selection component and denotes an adjustment type. 16. The system of claim 15, wherein said a priori information indicates which of a plurality of options are appropriate for use with each of the different sets of sensor data, the plurality of options including one or more adjustment types, whether to determine an adjustment for the component using vibration sensor data alone or in combination with track split data, and one of a plurality of solution strategies. 17. The system of claim 16, wherein said one or more adjustment types includes one or more of a weight adjustment, a pitch control rod adjustment, one or more tab adjustments. 18. The system of claim 15, wherein the different sets of sensor data include sensor data for a plurality of different sensors at a plurality of different flight regimes for one or more vibration orders. 19. A non-transitory computer readable medium comprising executable code stored thereon that selects options for use with current sensor data, the non-transitory computer readable medium comprising executable code that: receives the current sensor data characterizing vibration caused by rotating blades;evaluates one or more sets of other sensor data to determine a first of the one or more sets of other sensor data that is best match for said current sensor data, each of said one or more sets of other sensor data being associated with one of a plurality of option sets, each of said plurality of options sets including one or more options selected as active in connection with determining one or more adjustments to the blades to reduce vibration, wherein said one option set associated with said each set of other sensor data indicates options previously determined as appropriate for use in connection with determining adjustments to the blades when said each set of other sensor data characterizes a current state of vibration caused by rotating the blades, each of said one or more sets of other sensor data being associated with a weight denoting a preference of said each set of other sensor data set, wherein a first of said sets of other sensor data has a first weight and a second of said sets of other sensor data has a second weight, and wherein if said first set of other sensor data has a larger variance than said second set, said first weight is less than said second weight;determines, in accordance with said evaluates, that a first of the plurality of option sets associated with said first set of other sensor data identifies a best set of one or more options including one or more adjustment types for use in determining one or more adjustments to the blades given the current sensor data; anddetermines said one or more adjustments to the blades, wherein determining the one or more adjustments is performing using a processor and the first option set associated with said first set of other sensor data, wherein said first option set identifies one or more options which are active and said determining determines an adjustment from different candidate adjustments for each option that is identified as active in said first option set and denotes an adjustment type.