Online detection system and monitoring method for magnetic suspension high-speed motor
By designing an online detection system for magnetic levitation high-speed motors including data acquisition, preprocessing, fault detection, storage, monitoring and communication modules, the problem of data isolation and lack of intelligent analysis in the existing technology is solved, and the real-time detection and determination of the magnetic levitation high-speed motors are realized, and faults are prevented and responded in a timely manner, and the operation stability of the motor is improved.
CN119916197APending Publication Date: 2025-05-02SHAANXI UNIV OF SCI & TECH
Patent Information
- Application Number
- CN202510087028.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-20
- Publication Date
- 2025-05-02
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Figure CN119916197A_ABST
Abstract
The invention belongs to the technical field of magnetic suspension high-speed motors, and discloses a magnetic suspension high-speed motor online detection system and a monitoring method, and the system comprises a data collection module, a data preprocessing module, a fault detection module, a data storage module, a monitoring module and a communication module. The communication module is connected with the data acquisition module, the data preprocessing module, the monitoring module and the fault detection module through serial ports; wherein the communication module is communicated with a lower computer by using a serial port to realize a ModBus protocol through a LabVIEW environment. According to the invention, the real-time condition of the magnetic suspension high-speed motor can be effectively and accurately detected and judged, so that fault prevention and response work can be carried out in time, and the overall operation stability of the magnetic suspension high-speed motor is prevented from being influenced.
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Citation Information
Patent Citations
Magnetic suspension motor instability pre-diagnosis method based on sensitivity detection result
CN117074941A