Abstract: Disclosed is a system and method for extraction of information of within sample distribution of fiber quality from high-volume instrument (HVI) fibrogram to better predict yarn quality than the standard HVI output. The present invention allows for information on fiber quality to be obtained while avoiding testing samples with more expensive techniques. The disclosed system and method extracts HVI data for collecting a respective set of initial fibrograms from a set of fiber samples and representing them as a distance matrix to form a matrix of transformed fibrogram data, said matrix of transformed fibrogram data comprising a vector of scores to represent each sample and thereafter explaining variation in yarn quality by extracting all of the information available from the fibrogram.

Abstract: Disclosed is a system and method for extraction of information of within sample distribution of fiber quality from high-volume instrument (HVI) fibrogram to better predict yarn quality than the standard HVI output. The present invention allows for information on fiber quality to be obtained while avoiding testing samples with more expensive techniques. The disclosed system and method extracts HVI data for collecting a respective set of initial fibrograms from a set of fiber samples and representing them as a distance matrix to form a matrix of transformed fibrogram data, said matrix of transformed fibrogram data comprising a vector of scores to represent each sample and thereafter explaining variation in yarn quality by extracting all of the information available from the fibrogram.