Patents by Inventor Lingming Meng

Lingming Meng has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12175352
    Abstract: A method for evaluating the mechanical state of a high-voltage shunt reactor based on vibration characteristics is disclosed, relating to the technical field of electrical equipment fault diagnosis. The method includes: based on historical state data and real-time vibration and noise signal data of the high-voltage shunt reactor and through an LSTM neural network time series prediction method, comparing deviation between predicted characteristic value and actual characteristic value, and determining whether the high-voltage shunt reactor has mechanical defects or failures. By using the historical state data and the real-time vibration and noise signal data of the high-voltage shunt reactor, an LSTM neural network time series prediction method, as well as comparison of the deviation between the predicted characteristic value and the actual characteristic value, etc., the evaluation of the mechanical state of the high-voltage shunt reactor is realized.
    Type: Grant
    Filed: April 29, 2021
    Date of Patent: December 24, 2024
    Assignees: State Grid Hebei Electric Power Research Institute, State Grid Corporation of China, Xi'an Jiaotong University
    Inventors: Shuguo Gao, Lingming Meng, Siming Zeng, Hui Fan, Qian Zang, Boyan Jia, Shengchang Ji, Hongliang Liu, Lu Sun, Chao Xing, Jun Zhao
  • Publication number: 20240158880
    Abstract: A micro-molybdenum-type weathering bridge steel plate disclosed by the present invention is characterized in that the steel plate is smelted from the following components by weight: C: 0.05-0.08%, Si: 0.30-0.50%, Mn: 1.25-1.35%, P: 0.010-0.014%, S?0.003%, Nb: 0.020-0.030%, Ti: 0.010-0.020%, V: 0.040-0.050%, Cu: 0.25-0.40%, Ni: 0.25-0.35%, Cr: 0.45-0.55%, Mo: 0.03-0.08%, Alt: 0.020-0.040%, and the balance from Fe and impurities. Less content of molybdenum reduces the production cost of the steel plate, the yield strength of the steel plate is 500-600 MPa, the yield strength ratio is ?0.85, and the maximum thickness of the steel plate can reach 80 mm.
    Type: Application
    Filed: November 17, 2021
    Publication date: May 16, 2024
    Applicant: NANJING IRON & STEEL CO., LTD.
    Inventors: Yixin HUANG, Mingliang QIAO, Baijie ZHAO, Chunxia TANG, Jun WANG, Qiang CUI, Linheng CHEN, Yuqun YIN, Tao LIU, Yurong QIN, Lingming MENG
  • Publication number: 20230104637
    Abstract: Disclosed is 500-MPa low-yield-ratio weather-resistant bridge steel and a manufacturing method therefor; the weather-resistant bridge steel includes the following components in percentage by mass: C: 0.04%-0.09%, Si: 0.15%-0.30%, Mn: 1.40%-1.50%, P: 0.009%-0.015%, S: ?0.002%, Nb: 0.020%-0.050%, Ti: 0.010%-0.020%, V: 0.010%-0.030%, Cu: 0.30%-0.40%, Ni: 0.30%-0.45%, Cr: 0.45%-0.60%, Mo: 0.08%-0.15%, Alt: 0.02%-0.04%, and the balance Fe and inevitable impurities; through scientific component designing and a matched manufacturing method combining controlled rolling and cooling and tempering, the weather-resistant bridge steel has a low yield ratio, high low-temperature toughness and high elongation.
    Type: Application
    Filed: May 8, 2020
    Publication date: April 6, 2023
    Inventors: Yixin HUANG, Juefei CHU, Jun WANG, Qiang CUI, Linheng CHEN, Wei DENG, Lingming MENG, Chunxia TANG, Qingfeng WANG, Liyang ZHAO
  • Publication number: 20210364481
    Abstract: A method for evaluating the mechanical state of a high-voltage shunt reactor based on vibration characteristics is disclosed, relating to the technical field of electrical equipment fault diagnosis. The method includes: based on historical state data and real-time vibration and noise signal data of the high-voltage shunt reactor and through an LSTM neural network time series prediction method, comparing deviation between predicted characteristic value and actual characteristic value, and determining whether the high-voltage shunt reactor has mechanical defects or failures. By using the historical state data and the real-time vibration and noise signal data of the high-voltage shunt reactor, an LSTM neural network time series prediction method, as well as comparison of the deviation between the predicted characteristic value and the actual characteristic value, etc., the evaluation of the mechanical state of the high-voltage shunt reactor is realized.
    Type: Application
    Filed: April 29, 2021
    Publication date: November 25, 2021
    Inventors: Shuguo Gao, Lingming Meng, Siming Zeng, Hui Fan, Qian Zang, Boyan Jia, Shengchang Ji, Hongliang Liu, Lu Sun, Chao Xing, Jun Zhao