WNN-based vibration velocity sensor amplitude-frequency characteristic compensation method
A technology of amplitude-frequency characteristics and compensation method, applied in the field of amplitude-frequency characteristics compensation of vibration velocity sensor based on WNN, can solve the problem that the lower limit measurement frequency can not meet the requirements of ultra-low frequency vibration measurement, meet the real-time requirements and take a short time. , the effect of good robustness
Inactive Publication Date: 2019-10-25
HUAIYIN TEACHERS COLLEGE
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Problems solved by technology
[0003] However, due to the limitation of the mechanical structure and materials of the magnetoelectric vibration velocity sensor, its lower limit measurement frequency cannot meet the requirements of ultra-low frequency vibration measurement.
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[0043] The technical scheme that this embodiment mode adopts is:
[0044] see figure 1 As shown, the mechanical model of the magnetoelectric vibration velocity sensor can be simplified as a spring with an elastic coefficient k, consisting of three parts: the inertial mass m and the damping c, such as figure 1 Shown in [1-3]. The speed sensor is a single-degree-of-freedom system. Let y0 be established on the shell of the sensor, which is the coordinate of the implicated motion, y1 is the coordinate of the relative motion between the inertial mass block and the shell, and y2 is the absolute motion coordinate of the mass block. Its mechanics equation is:
[0045]
[0046] The electromagnetic induction equation is:
[0047]
[0048] B in formula (2) is the magnetic induction intensity, N is the number of turns of the coil, L is the average length of each turn of the coil, and α is the sensitivity.
[0049]From kinematics knowledge, we can know that the speed relationship...
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The invention relates to the technical field of vibration speed sensors, and particularly relates to a WNN-based vibration velocity sensor amplitude-frequency characteristic compensation method. the WNN-based vibration velocity sensor amplitude-frequency characteristic compensation method adopts a steepest descent method introducing a momentum term for training a network weight value, a scale factor and a translation factor, and relates the initialization of wavelet network parameters with wavelet types, wavelet time-frequency parameters, learning samples and the like. After adopting the abovetechnical scheme, the WNN-based vibration velocity sensor amplitude-frequency characteristic compensation method has the beneficial effects of compensating for the amplitude-frequency characteristicsof a magneto-electric vibration speed sensor by using a wavelet neural network and a wavelet neural network parameter training and initialization method introduced in the invention, and the method is proved to be effective, has good robustness and can realize online compensation. Compared with the BP neural network of the same scale, the network training takes short time and has high precision,can better meet the real-time requirements, and has higher practical value in the testing field.
Description
technical field [0001] The invention relates to the technical field of vibration speed sensors, in particular to a method for compensating amplitude-frequency characteristics of vibration speed sensors based on WNN. Background technique [0002] Magnetoelectric vibration velocity sensor has been widely used in low frequency measurement due to its advantages of large output signal, simple follow-up circuit and strong anti-interference ability. The sensor is an inertial sensor, which is a transduction device that converts the vibration parameters of a vibrating object into electricity. It uses the principle of electromagnetic induction, and the coil fixed on the inertial mass in the sensor cuts the magnetic force line when the measured object vibrates. The electric potential proportional to the vibration speed is obtained, and the electric potential is amplified by the amplifier to measure the speed of the measured object. If it goes through the differential or integral link,...
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Login to View More IPC IPC(8): G01H11/02G06N3/04G06N3/08
CPCG01H11/02G06N3/08G06N3/045
Inventor 俞阿龙孙华军孙红兵陈勇戴金桥
Owner HUAIYIN TEACHERS COLLEGE