State monitoring device and state monitoring system

    公开(公告)号:US12007310B2

    公开(公告)日:2024-06-11

    申请号:US17255399

    申请日:2019-07-04

    申请人: NTN CORPORATION

    发明人: Makoto Miyazaki

    摘要: Provided is abnormality diagnosis with improved stability on an appliance to which a rotational torque is transmitted from a rotating body. A state monitoring device monitors the state of an appliance to which the rotational torque of a rotating body is transmitted. The state monitoring device includes a storage unit and a controller. Specific information depending on a rotational speed of the rotating body, produced from vibration data of the appliance, is pre-stored in the storage unit. Using the rotational speed of the rotating body and the vibration data of the appliance, the controller performs abnormality diagnosis on the appliance. Using the specific information, the controller estimates the rotational speed of the rotating body, the rotational speed being a rotational speed when the vibration data of the appliance is measured.

    CROSS-DOMAIN MECHANICAL FAULT DIAGNOSIS METHOD BASED ON MULTI-CHANNEL FEATURE FUSION OF CBAM AND USE THEREOF

    公开(公告)号:US20240142342A1

    公开(公告)日:2024-05-02

    申请号:US18494396

    申请日:2023-10-25

    摘要: The present invention belongs to the technical field of mechanical fault data recognition, and discloses a cross-domain mechanical fault diagnosis method based on multi-channel feature fusion of an improved CBAM and use thereof, wherein the method comprises: conducting preliminary feature extraction in a grey-scale graph formed by original signals with convolutional neural network, obtaining high-level features, and compressing the high-level features with a full-connection layer module; conducting deep-level multi-sensor feature extraction with an improved convolutional block attention module (CBAM); conducting fusion for multi-sensor features extracted with an improved convolutional block attention module and obtaining multi-sensor fusion features; and inputting the multi-sensor fusion features into a tag assignor for fault diagnosis results. In the present invention, the latest multi-channel domain adaptation fault diagnosis method is used to realize efficiently intelligent fault diagnosis tasks of bearings in different working states.

    SYSTEM AND METHOD FOR MACHINE DIAGNOSIS
    6.
    发明公开

    公开(公告)号:US20230304895A1

    公开(公告)日:2023-09-28

    申请号:US18125717

    申请日:2023-03-23

    IPC分类号: G01M15/14 G01M13/028

    CPC分类号: G01M15/14 G01M13/028

    摘要: A system includes a machine that is operable in a defined condition described by at least one operating parameter, and a controller. The controller is configured to control at least one actuator so as to exert an excitation of at least a part of the system and/or detect a predetermined excitation of at least a part of the system. The excitation is superimposed to the defined condition of the machine. The system also includes at least one sensor configured to measure at least one response indicator of a response of at least a part of the system to the excitation. The system includes a diagnosis system configured to receive the at least one measured response indicator and the at least one operating parameter.

    Vibration analysis apparatus and vibration analysis method

    公开(公告)号:US11754468B2

    公开(公告)日:2023-09-12

    申请号:US17798318

    申请日:2020-05-19

    发明人: Tetsushi Ishida

    摘要: A vibration analysis apparatus includes: a storage unit storing a regression equation indicating correspondence between rotation speed change of a rotation mechanism and a peak occurrence frequency of acceleration of vibration, for each acceleration peak; an analysis unit extracting a peak occurrence frequency of acceleration of vibration for each acceleration peak, based on vibration data of the rotation mechanism and calculating, for each acceleration peak, a waveform area of the acceleration peak by integrating the acceleration peak over a specific frequency section; and an anomaly determination unit determining whether operational anomaly occurs in the rotation mechanism for each acceleration peak. The analysis unit tracks, in accordance with the regression equation, change in peak occurrence frequency due to rotation speed change when vibration of the rotation mechanism is analyzed, and calculates, for each second acceleration peak, the waveform area of the second acceleration peak corresponding to the second vibration frequency tracked.