Systems and methods for multivariate analysis using multi-subsystem data

    公开(公告)号:US10859556B2

    公开(公告)日:2020-12-08

    申请号:US16154964

    申请日:2018-10-09

    Abstract: Systems and methods for analyzing an unknown sample are disclosed. The system includes at least one subsystem to obtain molecular information about the sample and at least one other subsystem to obtain elemental information about the sample. The system also includes a data collection component to collect and combine the information from the subsystems to create combined analytical information and a multivariate model that relates known attributes to information previously generated with at least two analytical systems that are the same types of systems as the at least two analytical subsystems. A prediction engine applies the multivariate model to the combined analytical information to produce predictions of attributes in the unknown sample.

    SYSTEMS AND METHODS FOR MULTIVARIATE ANALYISIS USING MULTI-SUBSYSTEM DATA

    公开(公告)号:US20190049421A1

    公开(公告)日:2019-02-14

    申请号:US16154964

    申请日:2018-10-09

    Abstract: Systems and methods for analyzing an unknown sample are disclosed. The system includes at least one subsystem to obtain molecular information about the sample and at least one other subsystem to obtain elemental information about the sample. The system also includes a data collection component to collect and combine the information from the subsystems to create combined analytical information and a multivariate model that relates known attributes to information previously generated with at least two analytical systems that are the same types of systems as the at least two analytical subsystems. A prediction engine applies the multivariate model to the combined analytical information to produce predictions of attributes in the unknown sample.

    Multi-sensor analysis of complex geologic materials

    公开(公告)号:US10107788B2

    公开(公告)日:2018-10-23

    申请号:US15433677

    申请日:2017-02-15

    Abstract: Systems and methods for analyzing an unknown geological sample are disclosed. The system may include at least two analytical subsystems, and each of the at least two analytical subsystems provides different information about the geological sample. The data sets from various analytic subsystems are combined for further analysis, and the system includes a chemometric calibration model that relates geological attributes from analytical data previously obtained from at least two analytical techniques. A prediction engine applies the chemometric calibration model to the combined analytical information from the geological sample to predict specific geological attributes in the unknown geological sample.

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