Patents by Inventor Zixi LING

Zixi LING 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).

  • Smart acoustic information recognition-based welded weld impact quality determination method and system
    Patent number: 11927563
    Abstract: A smart acoustic information recognition-based welded weld impact quality determination method and system, comprising: controlling a tip of an ultrasonic impact gun (1) to perform impact treatment on a welded weld with different treatment pressures, treatment speeds, treatment angles and impact frequencies, obtaining acoustic signals during the impact treatment, calculating feature values of the acoustic signals, and constructing an acoustic signal sample set including various stress conditions; marking the acoustic signal sample set according to impact treatment quality assessment results for the welded weld; establishing a multi-weight neural network model, and using the marked acoustic signal sample set to train the multi-weight neural network model; obtaining feature values of welded weld impact treatment acoustic signals to be determined, inputting the feature values into the trained multi-weight neural network model, and outputting determination results for welded weld impact treatment quality to be det
    Type: Grant
    Filed: October 28, 2020
    Date of Patent: March 12, 2024
    Assignee: NANTONG UNIVERSITY
    Inventors: Liang Hua, Ling Jiang, Juping Gu, Cheng Lu, Kun Zhang, Kecai Cao, Liangliang Shang, Qi Zhang, Shenfeng Wang, Yuxuan Ge, Zixi Ling, Jiawei Miao
  • SMART ACOUSTIC INFORMATION RECOGNITION-BASED WELDED WELD IMPACT QUALITY DETERMINATION METHOD AND SYSTEM
    Publication number: 20220276204
    Abstract: A smart acoustic information recognition-based welded weld impact quality determination method and system, comprising: controlling a tip of an ultrasonic impact gun (1) to perform impact treatment on a welded weld with different treatment pressures, treatment speeds, treatment angles and impact frequencies, obtaining acoustic signals during the impact treatment, calculating feature values of the acoustic signals, and constructing an acoustic signal sample set including various stress conditions; marking the acoustic signal sample set according to impact treatment quality assessment results for the welded weld; establishing a multi-weight neural network model, and using the marked acoustic signal sample set to train the multi-weight neural network model; obtaining feature values of welded weld impact treatment acoustic signals to be determined, inputting the feature values into the trained multi-weight neural network model, and outputting determination results for welded weld impact treatment quality to be det
    Type: Application
    Filed: October 28, 2020
    Publication date: September 1, 2022
    Inventors: Liang HUA, Ling JIANG, Juping GU, Cheng LU, Kun ZHANG, Kecai CAO, Liangliang SHANG, Qi ZHANG, Shenfeng WANG, Yuxuan GE, Zixi LING, Jiawei MIAO