Non-baseline on-line stress monitoring system and monitoring method based on multi-mode lamb wave data fusion

    公开(公告)号:US12130259B2

    公开(公告)日:2024-10-29

    申请号:US17704081

    申请日:2022-03-25

    摘要: The present disclosure proposes a non-baseline on-line stress monitoring system and monitoring method based on multi-mode Lamb wave data fusion. A Lamb wave dispersion curve is established according to geometric dimensions and material parameters of a measured object, a cut-off frequency of a first-order Lamb wave mode is obtained, an excitation frequency of a Lamb wave signal is determined, and then pure Lamb waves in S0 and A0 modes obtained inside the measured object are obtained; an acoustoelastic equation is established, an elastodynamic equation of the measured object under a prestress condition is solved, and linear relationships between a group velocity and a stress of the Lamb waves in the S0 and A0 modes under the excitation frequency are obtained; data is processed through the on-line monitoring system; a stress gradient in a depth direction is calculated, and finally, a stress state of the measured object is represented. The present disclosure does not require data under a zero stress state as baseline data, does not require designing a wedge block capable of generating a critical refraction longitudinal wave, and combines acoustoelastic effects of Lamb waves in different modes to realize online stress monitoring without the baseline data.

    DIAGNOSIS METHOD AND SYSTEM BY ANALYZING SIGNAL BASED ON CNN

    公开(公告)号:US20240302331A1

    公开(公告)日:2024-09-12

    申请号:US18226853

    申请日:2023-07-27

    IPC分类号: G01N29/46 G01N29/44

    CPC分类号: G01N29/46 G01N29/4481

    摘要: A diagnosis system and a diagnosis method are presented, which utilize a CNN-based signal analysis, that are capable of diagnosing various mechanical equipment pieces by analyzing vibration or noise occurring in the various mechanical equipment pieces in industrial sites on the basis of a deep learning technique. The effect of efficiently performing signal analysis and signal-feature extraction can be achieved. The effect of extracting a feature of an automatically measured signal on the basis of a result obtained through a feature extraction process in a case where it is necessary to set up a database can be achieved.

    Vibrating device and operation method thereof

    公开(公告)号:US12079389B2

    公开(公告)日:2024-09-03

    申请号:US18161094

    申请日:2023-01-30

    申请人: HTC Corporation

    IPC分类号: G06F3/01 A61B5/296 G01N29/46

    CPC分类号: G06F3/015 A61B5/296 G01N29/46

    摘要: A vibrating device and an operation method thereof. The vibrating device includes multiple electromyography sensors, a force sensor, multiple vibrators and a controller. The electromyography sensors are respectively disposed at different positions of a user to obtain multiple pieces of electromyography information respectively. The vibrators are disposed adjacent to or overlapping with the electromyography sensors. During a setting period, the controller makes the vibrators vibrate according to a preset vibration waveform. During the setting period, the controller records multiple pieces of force information generated by the force sensor corresponding to multiple different applied forces of the user and the pieces of electromyography information generated by the electromyography sensors. The controller obtains multiple characteristic frequency parameters according to the corresponding pieces of electromyography information. The controller establishes a relational model between the characteristic frequency parameters and the pieces of force information.

    Bonding layer evaluation system and bonding layer evaluation method

    公开(公告)号:US12019049B2

    公开(公告)日:2024-06-25

    申请号:US17415897

    申请日:2019-12-20

    IPC分类号: G01N29/12 G01N29/46

    摘要: A bonding layer evaluation system includes an elastic wave generation device configured to generate an elastic wave from a sample including a bonding layer; an elastic wave reflection body configured to reflect the elastic wave generated from the sample; a sample installation unit provided between the elastic wave generation device and the elastic wave reflection body; an elastic wave detection device disposed in a direction in which the elastic wave is reflected by the elastic wave reflection body, and configured to detect the reflected elastic wave; and a control device configured to evaluate a parameter related to the bonding layer. The control device evaluates the parameter related to the bonding layer by comparing the actual value of the elastic wave detected by the elastic wave detection device with a theoretical value of the elastic wave calculated based on a theoretical model related to the sample.