DYNAMIC JOINT DISTRIBUTION ALIGNMENT NETWORK-BASED BEARING FAULT DIAGNOSIS METHOD UNDER VARIABLE WORKING CONDITIONS

    公开(公告)号:US20230314795A1

    公开(公告)日:2023-10-05

    申请号:US17760583

    申请日:2020-12-19

    Abstract: The invention discloses a design method of a wavenumber linearity dispersion optical system and an imaging spectrometer, including: building an optical system including a grating, a prism and an objective lens that are sequentially arranged, the grating adjoins the prism; defining a linearity evaluation coefficient RMS; assigning a minimum value to the linearity evaluation coefficient RMS through adjustment to the vertex angle of the prism, when the linearity evaluation coefficient RMS is at minimum, the vertex angle of the prism being α1; acquiring compensations for distortion and longitudinal chromatic aberration of the objective lens based on the interval between equal-difference wavenumbers on the image plane when the vertex angle of the prism is α1; and optimizing the objective lens based on the compensations for distortion and longitudinal chromatic aberration of the objective lens to obtain an optimized optical system. Higher wavenumber linearity can be achieved through objective-lens-aberration compensated wavenumber linearity.

    Hyperspectral Sensing System and Method for Qualitative Analysis of Fluids

    公开(公告)号:US20230296437A1

    公开(公告)日:2023-09-21

    申请号:US18165477

    申请日:2023-02-07

    Inventor: Joseph Y. Fang

    Abstract: A system and method using remote sensing instrument with hyper spectrum quantitatively measure metal dust elements in lubricating oil, which includes (not limited): Al, Cd, Cr, Cu, Fe, Pb, Mg, Mn, Mo, Ni, Ag, Sn, Ti, V, Zn, B (Boron, for Coolant), Ca (Calcium for water contaminant), and particle size, cone penetration, dropping point, steel mesh oil separation, moisture, PQ concentration, in few seconds. The instrument integrates near-field communication (NFC), Internet of Thing (IoT), Cloud computing, spectral matching and other data processing, and application software forming a system to easily operated and build a model enable self-learning to improve precision through collection accumulation. With the system, the instrument as FIG. 1 can provide comprehensive on-site analysis enable preventive maintenance of mission critical engine and rotating equipment. The characteristics of the system are easy to operate, get result quickly, and self-learning to improve precision.

    SPECTROMETER
    44.
    发明公开
    SPECTROMETER 审中-公开

    公开(公告)号:US20230266169A1

    公开(公告)日:2023-08-24

    申请号:US18110882

    申请日:2023-02-16

    CPC classification number: G01J3/2823 G02B27/1013 G01J3/0208

    Abstract: A spectrometer includes a base, a light input element, a light splitting element, an image sensor and a shading element. The light input element is disposed on the base for receiving an optical signal. The light splitting element is disposed on the base to split the received optical signal into a plurality of spectral components. The image sensor is disposed on the base, and has a sensing surface for receiving the plurality of spectral components. The sensing surface has a virtual central line extending along an arrangement direction of the plurality of spectral components. The shading element is disposed between the light splitting element and the image sensor according to an optical influence factor, and is located on a projection path of a portion of the plurality of spectral components. A shadow generated by the shading element on the sensing surface does not fall on the virtual central line.

    METHOD AND SYSTEM FOR DETERMINING INTERNAL QUALITY ATTRIBUTE(S) OF ARTICLES OF AGRICULTURAL PRODUCE

    公开(公告)号:US20230258572A1

    公开(公告)日:2023-08-17

    申请号:US18131111

    申请日:2023-04-05

    CPC classification number: G01N21/85 G01J3/2823 G01N21/84 G01N2021/8466

    Abstract: An aspect of the invention provides a method for determining at least one internal quality attribute of an article (102) of in agricultural produce. The method includes receiving a plurality of first spectroscopic values obtained from directing low band light in a first wavelength associated to a low band of wavelengths from at least one low band light source (104) at least partly through the article (102) toward at least one detector (120); receiving a plurality of second spectroscopic values obtained from directing high band light in a second wavelength associated to a high band of wavelengths from at least one high band light source (106) at least partly through the article (102) toward the at least one detector (120); determining at least one measured spatial profile associated to the article, the at least one measured spatial profile comprising at least one of a plurality of ratios of respective first spectroscopic values to respective second spectroscopic values, a plurality of ratios of respective second spectroscopic values to respective first spectroscopic values; and determining the at least one internal quality attribute at least partly from a comparison of the at least one measured spatial profile with at least one reference spatial profile associated to a class of articles of agricultural produce.

    METHOD AND SYSTEM FOR SPECTRUM MATCHING FOR HYPERSPECTRAL AND MULTISPECTRAL DATA

    公开(公告)号:US20230152155A1

    公开(公告)日:2023-05-18

    申请号:US18048055

    申请日:2022-10-20

    CPC classification number: G01J3/2823 G01J2003/2826

    Abstract: This disclosure provides a method and system for spectrum matching for hyperspectral and multispectral data. Conventional methods using geometric or statistical distance measures for spectral matching considers two spectra having equal length or having large amplitude difference. These methods do not consider amplitude difference in the spectra or spectra with unequal lengths. Embodiments of the present disclosure is formulated as a measurement of transformation required for converting a target spectrum to a reference spectrum or vice versa. The method computes a transformation cost between the two spectra for spectral matching. The transformation cost is globally optimized to obtain an optimal transformation cost which represents the optimal spectrum matching of the target spectrum with the reference spectrum.

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