A method and equipment (apparatus) for estimating motor parameters includes: receiving an operating parameter of an electric motor, estimating an estimated first motor parameter based on the operating parameter and on an initially determined second motor parameter and estimating an estimated second motor parameter based on the operating parameter and on an initially determined first motor parameter. The equipment (apparatus) and the method further include estimating a revised estimated second motor parameter based on the estimated first motor parameter and on the operating parameter, and estimating a revised estimated first motor parameter based on the estimated second motor parameter and on the operating parameter.

The subject matter of this specification can be embodied in, among other things, a torque motor monitoring system that includes a first observer module configured to receive a first collection of operational information about a torque motor when the torque motor is operating normally, and determine a duty offset ratio value based on the first collection of operational information, a second observer module configured to receive a second collection of operational information about a torque motor, determine a MOSFET gate duty ratio value based on the second collection of operational information and the duty offset ratio value, and determine a motor current value, and a fault detection module configured to identify a fault in the torque motor based on the MOSFET gate duty ratio value, the motor current value, and a predetermined fault determination threshold value.

A blood pump system including an optical sensor configured to detect an optical signal during pumping operation of the blood pump, and an optical fiber configured to transmit the optical signal from the optical fiber sensor to an evaluation device communicatively coupled to the optical fiber sensor. The evaluation device is configured to receive as inputs the transmitted optical signal and a signal indicative of the motor current and determine a mechanical failure event associated with the blood pump based on the motor current and the optical signal.

The present disclosure relates to a motor malfunction monitoring device, and a drive motor for oilfield operations including: a signal acquisition module configured to acquire operation data of the drive motor, wherein the signal acquisition module comprises a vibration signal acquisition unit and/or an electrical signal acquisition unit, the vibration signal acquisition unit comprises one or more vibration sensors mounted at a component to be detected of the drive motor during use and provided for detecting transverse vibration and/or longitudinal vibration, and/or the electrical signal acquisition unit comprises a voltage sensor and a current sensor for detecting a voltage and a current of the drive motor, respectively; a data storage module storing therein a database of normal operation spectrums created when the drive motor runs normally; and a signal analysis module configured to extract an acquired operation data spectrum of the operation data acquired, compare the acquired operation data spectrum with a respective normal operation data spectrum in the database of normal operation spectrums to obtain a similarity, and determine that the drive motor fails when the similarity is less than a predetermined threshold.

An arithmetic device and a motor drive device including the arithmetic device capable of performing high accuracy motor current calculation, include a control unit performing an arithmetic processing including: acquire a duty ratio; calculate a waiting time according to the duty ratio and a waiting coefficient; detect a shunt current value at a detection timing after lapse of the waiting time; acquire, as a zero-cross current value, the shunt current value; calculate an average value using the shunt current values; and calculate an effective current value by correcting the average value using a correction coefficient.

The disclosure discloses a motor driving system converter fault diagnosis method based on adaptive sparse filtering, and belongs to the field of driving system fault diagnosis. The disclosure applies an unsupervised learning algorithm to an application scene of converter fault diagnosis. Effective features are automatically extracted from original data, and the problem of manual feature design based on expert knowledge is solved. Meanwhile, in consideration of current fundamental period change caused by different rotation speed working conditions, rotation speed feedback is introduced, secondary sampling is carried out on current sampled at a constant frequency, it is ensured that the length of a signal input into the deep sparse filtering network is one fundamental wave period, redundant information is better removed from original data, the calculation burden is relieved, and the accuracy and rapidity of the diagnosis algorithm are improved to a certain extent.

A diagnostic method of a three-phase AC motor including: applying predetermined voltage in an order of first, second, and third current paths among three current paths in which current flows from a first phase winding to a second phase winding, from the second phase winding to a third phase winding, from the third phase winding to the first phase winding, respectively, via a neutral point; and detecting an abnormality based on current values flowing in these paths, wherein the second current path is a path in which a rate of change of generated torque to change of the rotation angle at a current rotation angle of the motor is greatest among the three paths, and a rotation direction of the motor when the first current path is energized is a direction in which an absolute value of torque generated when starting energization of the second current path decreases.

This application provides a method and device for updating calibration data of an electric motor, an electronic device, and a storage medium. The method includes: obtaining an initial calibration datum of the electric motor; determining whether a deviation between the initial calibration datum and a theoretical calculation datum exceeds a first threshold; recalibrating the electric motor based on the preset calibration parameter when the deviation between the initial calibration datum and the theoretical calculation datum exceeds the first threshold, and obtaining an updated calibration datum; determining whether a deviation between the updated calibration datum and the initial calibration datum exceeds a second threshold; and updating the initial calibration datum based on the updated calibration datum when the deviation between the updated calibration datum and the initial calibration datum does not exceed the second threshold, thereby updating and rectifying the initial calibration datum.

During EMC testing of electric motors, a rotation transmission device that penetrates a wall in an electromagnetic anechoic chamber has been unable to achieve high rotation and high torque, because of the skipping rope phenomenon. In order to achieve rotation transmission at high rotation and high torque, a fiber-reinforced plastic shaft is supported by a bearing inside a conductive housing; and a conductive brush that obstructs a space between the housing and the shaft surface is provided so as to provide electrical conduction between the housing and the shaft and prevent radio wave leakage. A plurality of bearings could be used, excluding at both ends, in order to achieve rotation transmission at high rotation and high torque.

Methods and systems for detecting partial discharge in a stator for an electric motor are provided. An exemplary method includes applying a high voltage AC sinewave input signal to the stator and energizing at least one winding therein. The method includes sensing a first resulting load signal occurring in the stator with a first device and filtering the first resulting load signal to form a first high frequency signal indicating any partial discharge (PD) voltage occurring in the stator. The method also includes sensing a second resulting load signal occurring in the stator with a second device and filtering the second resulting load signal to form a second high frequency signal indicating any partial discharge voltage occurring in the stator. Further, the method includes processing the first and second high frequency signals to form a processed signal indicating whether partial discharge occurred.