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.

公开(公告)号：US12275597B2

公开(公告)日：2025-04-15

申请号：US17640035

申请日：2021-07-21

Applicant: Northeastern University

Inventor： Xin Sha ,  Lin Feng ,  Yingwei Zhang

IPC: B65G43/00 ,  G06F17/11

Abstract: Provided is a sound-based roller fault detecting method by using double-projection neighborhoods preserving embedding, including: acquiring sound data during operation of a roller, performing a wavelet transform energy feature extraction on normal data in the data to obtain wavelet transform energy feature data, then performing double-projection neighborhoods preserving embedding feature extraction on the wavelet energy feature data to obtain an optimal projection matrix of the feature data, establishing a detection model, constructing T2 statistics of a feature space and a residual space of normal sound data, determining detection control limits according to the T2 statistics by a kernel density estimation method, and further judging whether newly acquired data has faults. According to the present method, main features of the data can be extracted under the conditions of non-dimensional reduction and dimensional reduction, and thus the present method can achieve the purpose of increasing fault detection accuracy.

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

IPC: H05B7/20 ,  G01R27/08 ,  G06F17/13

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.

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.