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公开(公告)号:US20170261264A1
公开(公告)日:2017-09-14
申请号:US15605427
申请日:2017-05-25
Applicant: Northeastern University
Inventor: Zhenbang Wang , Yingwei Zhang , Lin Feng
IPC: F27D21/00 , G06K9/20 , G06K9/00 , G06K9/62 , G06K9/46 , F27D11/08 , G06T7/40 , G06T7/13 , G06K9/48 , G06T7/00 , G01M3/00 , H04N7/18 , G06T7/90
CPC classification number: F27D21/0021 , F27D11/08 , F27D2021/0085 , F27D2021/026 , G01M3/38 , G06K9/00718 , G06K9/00751 , G06K9/00771 , G06K9/6212 , G06K2009/00738 , G06T7/0004 , G06T7/001 , G06T7/13 , G06T7/40 , G06T7/90 , G06T2207/10024 , G06T2207/30232 , H04N7/181
Abstract: A fault diagnosis method for an electrical fused magnesia furnace includes steps of: 1) arranging six cameras; 2) obtaining video information by the six cameras and sending the video information to a control center; then analyzing the video information by a chip of the control center; wherein a multi-view-based fault diagnosis method is used by the chip, comprising steps of: 2-1) comparing a difference between two consecutive frame histograms for shots segmentation; 2-2) computing a set of characteristic values for each shot obtained by the step 2-1), and then computing color, texture, and motion vector information; finally, evaluating shot importance via entropy; 2-3) clustering shots together by calculating similarity; 2-4) generating and optimizing a multi-view video summarization with a multi-objective optimization model; and 2-5) providing fault detection and diagnosis; and 3) displaying results of the fault detection and diagnosis on a host computer inter face of the control center.
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公开(公告)号:US11096251B2
公开(公告)日:2021-08-17
申请号:US16093849
申请日:2018-05-21
Applicant: Northeastern University
Inventor: Yingwei Zhang , Xiaoguang Xue , Yongxu Li
Abstract: The invention provides a calculation method for operating resistance in a dual-electrode DC electric-smelting furnace for magnesium, including the following steps of: calculating a raw material resistance: simplifying a raw material model as an electrode-centered cylindrical model, determining an electric-field strength of each point in an electric field generated by a raw material layer around an electrode in the cylindrical model, calculating a raw material voltage between two electrodes according to the electric-field strength of each point in the electric field, and further obtaining the raw material resistance between the two electrodes; calculating an electric arc-resistance relation model: determining a relation between an actual electric arc length and a distance from the electrode to a surface of a smelting pool, and calculating a relation between an electric arc voltage and the actual electric arc length, namely the electric arc-resistance relation model; and calculating a smelting pool resistance, namely the sum in series of the smelting pool resistance of the two electrodes.
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公开(公告)号:US10345046B2
公开(公告)日:2019-07-09
申请号:US15605427
申请日:2017-05-25
Applicant: Northeastern University
Inventor: Zhenbang Wang , Yingwei Zhang , Lin Feng
IPC: F27D21/00 , H04N7/18 , G01M3/38 , G06K9/00 , G06K9/62 , G06T7/00 , G06T7/13 , G06T7/40 , G06T7/90 , F27D11/08 , F27D21/02
Abstract: A fault diagnosis method for an electrical fused magnesia furnace includes steps of: 1) arranging six cameras; 2) obtaining video information by the six cameras and sending the video information to a control center; then analyzing the video information by a chip of the control center; wherein a multi-view-based fault diagnosis method is used by the chip, comprising steps of: 2-1) comparing a difference between two consecutive frame histograms for shots segmentation; 2-2) computing a set of characteristic values for each shot obtained by the step 2-1), and then computing color, texture, and motion vector information; finally, evaluating shot importance via entropy; 2-3) clustering shots together by calculating similarity; 2-4) generating and optimizing a multi-view video summarization with a multi-objective optimization model; and 2-5) providing fault detection and diagnosis; and 3) displaying results of the fault detection and diagnosis on a host computer inter face of the control center.
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