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公开(公告)号：US20220375640A1
公开(公告)日：2022-11-24
申请号：US17861465
申请日：2022-07-11
Applicant: Harbin Engineering University
Inventor： HE WANG , LIANGJUN WANG , DABIN SUN , HAOYIN CHEN , GENGLEI XIA , LEI LI
IPC: G21D3/00 , G06F30/20 , G21D3/04 , G06F119/02
Abstract: A dynamic characteristic analysis method of DET and RELAP5 coupling based on a universal instrumental variable method includes steps of: constructing a DET simulation model of a discrete dynamic event tree and modifying TRIP cards of an input file by adding universal instrumental TRIP variables according to state transition types of DET simulation objects, the universal instrumental TRIP variable being variable type or logical type; setting a simulation time of the RELAP5, controlling a simulation step, and analyzing an output result file of each simulation step of the RELAP5; backtracking the RELAP5 according to state transition types of DET simulation objects. The dynamic characteristic analysis method has advantages of simplifying TRIP setting process and method of DET state transition objects in an input file of the RELAP5 required for the coupling of DET and RELAP5, reducing a modeling complexity and improving a modeling efficiency.
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公开(公告)号：US20220326211A1
公开(公告)日：2022-10-13
申请号：US17847496
申请日：2022-06-23
Applicant: Harbin Engineering University
Inventor： Yuxin Zhao , Rixu Hao , Jiaxun Li , Chang Liu , Qiuyang Zhang , Dequan Yang , Shuo Yang , Yanlong Liu , Hengde Zhao , Ting Zhao
Abstract: The disclosure provides a marine transportation platforms guarantee-oriented analysis and prediction method for a three-dimensional temperature and salinity field, including: based on multi-source marine environmental data, analyzing the spatiotemporal distribution characteristics of marine dynamic environmental elements, and studying the characteristics of the temperature-salinity relation; on the basis of analysis of the spatiotemporal characteristics and study of the characteristics of the temperature-salinity relation, establishing a statistical prediction model of marine environmental dynamic elements by a spatiotemporal empirical orthogonal function method; based on the observation data of temperature and salinity obtained by the marine transportation platform, correcting a marine environment forecast field around the marine transportation platform by using a realtime analysis technology of a marine environment field; and adjusting the salinity using a temperature-salinity relation curve after the temperature and salinity are forecasted, so as to keep the temperature-salinity relation as close as possible to its climatic characteristics. The disclosure makes up for the shortcomings of the traditional numerical prediction method that the period of prediction validity of marine dynamic environmental elements is short due to meteorologically driven timeliness restrictions, and the prediction process of the disclosure does not require a high-performance computing platform and occupies less computing resource.
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公开(公告)号：US20220291654A1
公开(公告)日：2022-09-15
申请号：US17691191
申请日：2022-03-10
Applicant: Harbin Engineering University
Inventor： Yongkuo Liu , Xin Ai , Longfei Shan , Xueying Huang
IPC: G05B19/05
Abstract: The present disclosure relates to an online monitoring method of a nuclear power plant system based on an isolation forest method and a sliding window method. An isolation forest method used in the present disclosure is an abnormal detection model based on the idea of binary tree division, and has no requirements on the dimension and linear characteristics of monitoring data. In view of the characteristics of strong nonlinearity and high dimension of operation data of the nuclear power plant system, in the process of state monitoring, system abnormalities can be detected more quickly and accurately. In the present disclosure, a sliding window method is used to improve an isolation forest model, so that the improved isolation forest model has the functions of model online updating and real-time state monitoring, and the usability of an isolation forest state monitoring method is enhanced.
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94.发明申请公开(公告)号：US20220120636A1
公开(公告)日：2022-04-21
申请号：US17564558
申请日：2021-12-29
Applicant: Harbin Engineering University
Inventor： Long Liu , Yue Wu , Dai Liu , Qian Xiong , Xinru Shi , Shihai Liu , Chen An , Qihao Mei
Abstract: The disclosure is an engine simulation test device capable of realizing an ultrahigh compression temperature and pressure, belonging to the field of a diesel engine high-temperature and high-pressure system, solving the problems that the existing engine simulation test cannot achieve ultra-high compression temperature and pressure, and the temperature and pressure are not adjustable. It includes a compressed air inlet mechanism, a nitrogen gas inlet mechanism, a pressure stabilizing mechanism, a cyclic heating mechanism, an air inlet mechanism and a fast compressor mechanism. The compressed air inlet mechanism and the nitrogen gas inlet mechanism are both connected with a gas inlet end of a pressure stabilizing tank in the pressure stabilizing mechanism, the compressed air inlet mechanism and the nitrogen gas inlet mechanism respectively introduce air and nitrogen gas into the pressure stabilizing tank, the pressure stabilizing tank is connected with the cyclic heating mechanism, the cyclic heating mechanism heats gas in the pressure stabilizing tank, a gas outlet end of the pressure stabilizing tank is connected with the fast compressor mechanism, and the air inlet mechanism is connected between the pressure stabilizing tank and the fast compressor mechanism. The device is mainly used for an engine simulation test.
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95.发明申请公开(公告)号：US20210293968A1
公开(公告)日：2021-09-23
申请号：US17013743
申请日：2020-09-07
Applicant: Harbin Engineering University
Inventor： Liang LI , Ruijie LI , Jiaxiang LI , Jiachang JIANG , Chun JIA , Hui LI , Yang LI , Zhibo NA
Abstract: The present disclosure provides an integrity monitoring method of ionosphere gradient based on kinematical to kinematical platform, comprising step 1, constructing geometry-free and ionospheric amplification type detection statistics, based on original triple-frequency carrier phase observations, step 2, adjusting a detection threshold based on a required monitoring false alarm rate, and determining whether the detection statistics are less than the adjusted detection threshold, step 3, comparing a calculated miss-detection rate and a required miss-detection rate, and determining whether the calculated miss-detection rate are less than the required miss-detection rate, and step 4, if the detection statistics are less than the adjusted detection threshold and the calculated miss-detection rate are less than the required miss-detection rate, considering the ionosphere gradient is normal.
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Patent Agency Ranking
公开(公告)号：US20210095965A1
公开(公告)日：2021-04-01
申请号：US17013750
申请日：2020-09-07
Applicant: Harbin Engineering University
Inventor： Lin ZHAO , Zihang PENG , Jicheng DING , Kun WANG , Yaguo BAI , Yongchao ZHANG , Renlong WANG
Abstract: The disclosure relates to a tight-integrated navigation method assisted by Elman neural network when GNSS signals are blocked based on the tight-integrated navigation system model of the INS and GNSS. The dynamic Elman neural network prediction model is used to train the inertial navigation error model and the GNSS compensation model, so as to solve the problem of tight-integrated navigation when the GNSS signals are blocked. When the GNSS signals are blocked, the trained neural network is used to predict the output error of GNSS and compensate the output of inertial navigation, so that the error will not diverge sharply, and the system can continue to work in the integrated navigation mode. The low-cost tight-integrated navigation module is used, and the collected information is preprocessed to form the sample data for training the neural network to train the Elman neural network model.
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97.发明申请公开(公告)号：US20210080287A1
公开(公告)日：2021-03-18
申请号：US16922241
申请日：2020-07-07
Applicant: Harbin Engineering University
Inventor： Bo Xu , Lianzhao Wang , Lei Wu , Shengxin Li , Jiao Zhang , Kunming Jin , Yu Guo , Dalong Zhang
Abstract: The invention provides a method for initial alignment of radar assisted airborne strapdown inertial navigation system. By calculating the slant distance and angular position between the radar and the airborne inertial navigation equipment, a nonlinear measurement equation for the initial alignment of the radar assisted inertial navigation system is obtained. The unscented Kalman filter algorithm is used to estimate and compensate the error amount of strapdown inertial navigation system to complete the initial alignment task. The significance of the present invention is to provide an in-flight initial alignment solution when the global positioning system is limited, which has fast convergence speed and high estimation accuracy and has high engineering application value.
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98.发明授权公开(公告)号：US12282092B2
公开(公告)日：2025-04-22
申请号：US18120609
申请日：2023-03-13
Applicant: Harbin Engineering University
Inventor： Shengchun Piao , Yunjia Shi , Junyuan Guo , Minghui Zhang
Abstract: The present disclosure belongs to the field of underwater target detection, and in particular, to a method for detecting a moving target based on spatial slices of transformed spatio-temporal frequency space. The method includes: segmenting a target radiated acoustic signal received by an M-element horizontal line array in an underwater acoustic environment with a low signal-to-noise ratio (SNR); performing N-point discrete Fourier transform (DFT) on the received signal on each array element in each period of time; performing frequency domain beamforming on an array signal after each section of DFT, and performing stacking after compensating a phase difference between arrays brought by an azimuth of each primitive element; performing coordinate transformation on a frequency-azimuth-time three-dimensional (3D) matrix space obtained; taking a slice from the obtained frequency-azimuth-time 3D space subjected to the coordinate transformation; and performing segmented Radon transform on the spatial slice obtained to detect the target.
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公开(公告)号：US12276242B1
公开(公告)日：2025-04-15
申请号：US18985624
申请日：2024-12-18
Applicant: Harbin Engineering University
Inventor： Yipeng Cao , Yao Song , Chen Liu , Xiaochen Zhao , Jiaxuan Lin , Shaoran Du , Jie Yang , Jie Guo , Xinyu Zhang
Abstract: Provided is an intake bypass recirculation structure capable of silencing, including: an intake bypass recirculation structure body and a structure-conducted silencing device. An intake bypass recirculation cavity is provided on the intake bypass recirculation structure body. An inlet of the intake bypass recirculation structure and an outlet of the intake bypass recirculation structure that are provided on the intake bypass recirculation structure body are each connected to the intake bypass recirculation cavity. The structure-conducted silencing device is disposed inside the intake bypass recirculation cavity. In this application, during working, noise generated by a compressor is transmitted into the intake bypass recirculation cavity via an inlet of the intake bypass recirculation structure, and transmitted outside via the outlet of the intake bypass recirculation structure.
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公开(公告)号：US12140581B2
公开(公告)日：2024-11-12
申请号：US17847496
申请日：2022-06-23
Applicant: Harbin Engineering University
Inventor： Yuxin Zhao , Rixu Hao , Jiaxun Li , Chang Liu , Qiuyang Zhang , Dequan Yang , Shuo Yang , Yanlong Liu , Hengde Zhao , Ting Zhao
Abstract: A method for a three-dimensional temperature and salinity field, including: based on multi-source marine environmental data, analyzing the spatiotemporal distribution characteristics of marine dynamic environmental elements, and studying the characteristics of the temperature-salinity relation; on the basis of analysis of the spatiotemporal characteristics and study of the characteristics of the temperature-salinity relation, establishing a statistical prediction model of marine environmental dynamic elements by a spatiotemporal empirical orthogonal function method; based on the observation data of temperature and salinity obtained by the marine transportation platform, correcting a marine environment forecast field around the marine transportation platform by using a realtime analysis technology of a marine environment field; and adjusting the salinity using a temperature-salinity relation curve after the temperature and salinity are forecasted.
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