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Li, 2020 - Google Patents

Recognition method of non-stationary mechanical vibration signal based on convolution neural network

Li, 2020

Document ID
110325058706073139
Author
Li M
Publication year
Publication venue
2020 5th International Conference on Smart Grid and Electrical Automation (ICSGEA)

External Links

Snippet

In order to realize the accurate recognition of mechanical vibration signal, a method of Non- Stationary Mechanical vibration signal recognition based on convolution neural network is proposed. The characteristic values of Non-Stationary Mechanical vibration signals are …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/003—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/46—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis

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