公开(公告)号：US20240159730A1

公开(公告)日：2024-05-16

申请号：US18508648

申请日：2023-11-14

申请人： Suzhou Renzheng Zhitan Technology Co., Ltd. ,  Nanjing University of Aeronautics and Astronautics

发明人： Zhenghua QIAN ,  Mingming WANG ,  Peng LI ,  Xianwei WU ,  Hairui LIU ,  Zhi QIAN ,  Qi LI ,  Zelin XU

IPC分类号： G01N33/28 ,  G01N27/02

CPC分类号： G01N33/2858 ,  G01N27/025

摘要： A signal processing system and method for inductive oil abrasive particle sensor, comprising a sensor, an excitation signal generator, an analog signal processing circuit, a MCU signal acquisition module and a computer signal processing module is disclosed. The sensor is provided with two groups of induction coils, the excitation signal generator generates excitation signals and drives the excitation coils of the sensor to output induction signals containing abrasive particle information, and the analog signal processing circuit receives the induction signals output by the sensor and demodulates and amplifies the induction signals. The signal processing system of the sensor applied to online monitoring of oil abrasive particles is simple in structure and convenient to apply, has a complete signal statistics and monitoring interface, and can be used to effectively monitor the size, concentration and other information of the metal abrasive particles in oil in real time.

公开(公告)号：US20240003855A1

公开(公告)日：2024-01-04

申请号：US18176432

申请日：2023-02-28

申请人： Nanjing University of Aeronautics and Astronautics

发明人： Zhenghua QIAN ,  Zhi QIAN ,  Peng LI ,  Chen YANG

IPC分类号： G01N29/46 ,  G01N29/04

CPC分类号： G01N29/46 ,  G01N29/041 ,  G01N2291/2636 ,  G01N2291/0427 ,  G01N2291/023

摘要： The present disclosure belongs to the technical field of ultrasonic non-destructive testing, and discloses a method for extracting feature path signals of pipeline ultrasonic helical guided waves. The method includes: transforming a nonlinear wave number relationship of a pipe wall into a linear form by first order Taylor expansion, the approximation being reasonable under narrow band excitation; on this basis, establishing multimodal and multipath guided wave propagation over-complete data sets, and obtaining a modal weight factor and a path weight factor through a single-layer neural network algorithm; and multiplying the modal weight factor by the multimodal data set to separate a plurality of groups of unimodal signals from a whole signal, and multiplying the path weight factor by the multipath data set to extract unimodal feature path signals. The present disclosure can effectively extract unimodal unipath guided wave feature signals and improve the signal identification, and has broad prospects.