公开(公告)号：US20250164444A1

公开(公告)日：2025-05-22

申请号：US19034261

申请日：2025-01-22

Applicant: Sichuan University

Inventor： Jianbo WU ,  Rui KE ,  Chengjun DENG

IPC: G01N27/83 ,  E21B47/01 ,  G01N29/22 ,  G01N29/27 ,  G01N29/44

Abstract: A magnetic flux leakage and electromagnetic acoustic transducer joint testing device for a drill pipe at wellhead, including a mounting table, a limiting frame, a detection mechanism, and a signal processing mechanism. The limiting frame is mounted on the mounting table, and provided with the detection mechanism. A middle of the detection mechanism is provided with the drill pipe. The detection mechanism is connected to the signal processing mechanism. When the drill pipe passes through the detection mechanism when being lifted or lowered within the wellhead, the detection mechanism, integrating a magnetic flux leakage detection probe and an electromagnetic ultrasonic detection probe, will perform overall detection of the drill pipe. A magnetic flux leakage and electromagnetic acoustic transducer joint testing method is further provided.

公开(公告)号：US20220357267A1

公开(公告)日：2022-11-10

申请号：US17866417

申请日：2022-07-15

Applicant: Sichuan University

Inventor： Jianbo WU ,  Muchao ZHANG ,  Yawen LAN

IPC: G01N17/02 ,  G06K19/07 ,  F17D5/06

Abstract: A system for monitoring internal corrosion of a pipeline based on radio-frequency identification (RFID), including a magnetizing device, a RFID tag sensor, and a reader. The magnetizing device is placed on the pipeline, and includes an armature, a first permanent magnet, a first pole shoe, a second permanent magnet and a second pole shoe. The RFID tag sensor is placed on the pipeline, and at the same side with the magnetizing device. The reader is in wireless communication connection with the RFID tag sensor through a reader antenna.

公开(公告)号：US20220373432A1

公开(公告)日：2022-11-24

申请号：US17866441

申请日：2022-07-15

Applicant: Sichuan University

Inventor： Jianbo WU ,  Ziheng HUANG ,  Zhaoyuan XU ,  Qiao QIU ,  Jun ZHENG ,  Jinhang LI ,  Zhiyuan SHI

IPC: G01M99/00 ,  G06K9/00 ,  G06K9/62

Abstract: A method for diagnosing and predicting operation conditions of large-scale equipment based on feature fusion and conversion, including: collecting a vibration signal of each operating condition of the equipment, and establishing an original vibration acceleration data set of the vibration signal; performing noise reduction on the original vibration acceleration data set, and calculating a time domain parameter; performing EMD on a de-noised vibration acceleration and calculating a frequency domain parameter; constructing a training sample data set through the time domain parameter and the frequency domain parameter; establishing a GBDT model, and inputting the training sample data set into the GBDT model; extracting a leaf node number set from a trained GBDT model; performing one-hot encoding on the leaf node number set to obtain a sparse matrix; and inputting the sparse matrix into a factorization machine to obtain a prediction result.