CN107505497B - Time domain measurement method for peak value and peak value of signal of passive magnetoelectric rotation speed sensor - Google Patents
Time domain measurement method for peak value and peak value of signal of passive magnetoelectric rotation speed sensor Download PDFInfo
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- CN107505497B CN107505497B CN201710606144.5A CN201710606144A CN107505497B CN 107505497 B CN107505497 B CN 107505497B CN 201710606144 A CN201710606144 A CN 201710606144A CN 107505497 B CN107505497 B CN 107505497B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/04—Measuring peak values or amplitude or envelope of ac or of pulses
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/25—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
- G01R19/2506—Arrangements for conditioning or analysing measured signals, e.g. for indicating peak values ; Details concerning sampling, digitizing or waveform capturing
- G01R19/2509—Details concerning sampling, digitizing or waveform capturing
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Abstract
The invention relates to a time domain measurement method for a peak value of a signal of a passive magnetoelectric rotation speed sensor. Compared with the prior art, the method can obtain the more real and effective peak-to-peak value of the periodic signal, and has the advantages of high calculation speed, accurate judgment and the like.
Description
Technical Field
The invention relates to a peak-to-peak time domain measuring method, in particular to a passive magnetoelectric rotation speed sensor signal peak-to-peak time domain measuring method.
Background
The magnetoelectric rotation speed sensor is widely applied to the field of vibration measurement and has the following characteristics: passive output, no external power supply is needed; two-wire system output is realized, and the wiring is convenient; the sensor output signal is similar to a sine wave signal; high reliability and is used in severe places. The amplitude (peak-to-peak value) of the sine-wave-like signal represents the magnitude of the physical quantity acquired by the sensor. In the existing time domain measurement method for the peak value and the peak value of a periodic signal, the difference value of the maximum value and the minimum value of a signal waveform collected in one period is usually calculated as the peak value and the peak value. After the installation position of the sensor is determined, due to the influence of the actual installation position, a waveform in the upper half period or a waveform in the lower half period may be obviously distorted, and under the condition of asymmetric waveform, especially under the condition that transient pulse interference or peak/trough interference signals exist in the signals, the error between the result of calculating the peak value and the peak value by directly utilizing the maximum value and the minimum value of the signals and the result of ideal waveform is large, the actual peak value and the actual peak value of the sine-wave-like periodic signals cannot be reflected, and the accuracy of the measurement result is influenced.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a high-precision time domain measurement method for the peak value and the peak value of a passive magnetoelectric rotation speed sensor signal.
The purpose of the invention can be realized by the following technical scheme:
a time domain measurement method for a peak value of a signal of a passive magnetoelectric rotation speed sensor comprises the steps of firstly detecting whether a half-cycle waveform in a periodic signal output by the passive magnetoelectric rotation speed sensor is complete or not, and then utilizing the complete half-cycle waveform data to realize measurement of the peak value of the signal in the whole cycle, wherein the periodic signal is a time domain discrete sampling signal.
And extracting the half-cycle waveform in the periodic signal by using a zero crossing point detection method to obtain a positive half-cycle signal and a negative half-cycle signal.
And before the zero crossing point detection method is executed, low-pass filtering processing is carried out on the periodic signal.
And before the zero crossing point detection method is executed, the periodic signal is subjected to direct current component removal processing.
When detecting whether half-cycle waveform is complete, respectively detecting a positive half-cycle signal and a negative half-cycle signal extracted in a cycle, and having the following conditions:
A) if the positive half-period signal and the negative half-period signal are detected to be complete, the peak value of the full-period signal is the difference value of the positive half-period signal peak value and the negative half-period signal peak value;
B) only the positive half-period signal is detected to be complete, and the peak value of the full-period signal is twice the value of the peak value of the positive half-period signal;
C) only the negative half-period signal is detected to be complete, and the peak-to-peak value of the full-period signal is twice the absolute value of the peak value of the positive half-period signal;
D) and if the positive half period signal and the negative half period signal are detected to be incomplete, discarding the current period.
The specific steps of detecting whether the half-cycle waveform is complete are as follows:
and carrying out point-by-point differential operation on the time domain waveform sampling data of the half-cycle waveform, recording the times of the differential operation result exceeding a preset threshold, judging whether the times is less than the preset times, if so, judging that the current half-cycle waveform is complete, and if not, judging that the current half-cycle waveform is a half-cycle signal with transient pulse interference or spike/trough signals.
The preset number of times includes 1 or 2.
The periodic signals comprise sine wave-like sensor signals, sine single-frequency signals and periodic signals with slowly-changed amplitude.
Compared with the prior art, the invention directly adopts the time domain waveform data of the sine-wave-like periodic signal to judge the complete half-cycle signal waveform and the asymmetric half-cycle signal waveform, and utilizes the complete half-cycle signal waveform data to calculate the peak-peak value of the full-cycle signal, thereby having high calculation speed and effectively eliminating the information misjudgment when transient pulse interference or peak/trough interference exists.
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FIG. 1 is a schematic flow diagram of the present invention;
fig. 2 is a schematic diagram of a periodic signal to be measured in the present embodiment.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
The embodiment provides a time domain measurement method for a peak value of a signal of a passive magnetoelectric rotation speed sensor. Taking a sine-like wave periodic signal as an example, as shown in fig. 1, the method specifically includes the following steps:
and S1, extracting the half-cycle waveform by using a zero crossing point detection method to obtain a positive half-cycle signal and a negative half-cycle signal.
If the periodic signal contains random noise components and affects zero crossing point detection, low-pass filtering is carried out on the periodic signal before the zero crossing point detection method is executed.
When the periodic signal contains a direct current component, the direct current component removing processing needs to be carried out on the periodic signal before the zero crossing point detection method is executed.
The zero crossing point detecting method is to judge the positive half period and the negative half period of sine wave like periodic signal directly with time domain waveform data, the time domain sampling sequence of the signal is S [ N ], corresponding to the sampling time sequence t [ N ], where N is a positive integer 1,2,3 …, S [ N-1], S [ N ] in the waveform data sequence are examined, judging that the zero-crossing point of the positive half period is between t [ N-1] and t [ N ] when S [ N-1] <0 and S [ N ] > <0, obtaining a more accurate value by adopting interpolation operation, and when S [ N-1] >0 and S [ N ] < ═ 0, judging that the starting zero-crossing point of the negative half period falls between t [ N-1] and t [ N ], obtaining a more accurate numerical value by adopting interpolation operation, and calculating the time difference between the starting zero-crossing points of two adjacent positive half periods or the starting zero-crossing points of two adjacent negative half periods to obtain the period of the periodic signal. The zero crossing point detection method used by the invention has the advantages of simple calculation method and rapidity.
S2, detecting whether the half-cycle waveform is complete, performing point-by-point difference operation on the time domain waveform sampling data of the positive half-cycle and the negative half-cycle of the sine-wave-like periodic signal, where Sd [ N ] ═ S [ N ] -S [ N-1], comparing the difference calculation result Sd [ N ] with a preset threshold, determining whether the difference exceeds the preset positive threshold or the negative threshold, and determining that the half-cycle signal is complete when the number of times of exceeding is less than a preset number of times (a limited integer, such as 1 or 2), or determining that the half-cycle signal has transient pulse interference or peak/trough signal, as shown in fig. 2.
And S3, measuring the peak value of the full-period signal by using a complete half-period waveform data, wherein when the complete half-period signal is judged as a positive half-period signal, the peak value is the maximum value of the positive half-period signal waveform data, and when the complete half-period signal is judged as a negative half-period signal, the peak value is the minimum value of the negative half-period signal waveform data. The measurement of peak-to-peak has the following:
A) if the positive half-period signal and the negative half-period signal are detected to be complete, the peak value of the full-period signal is the difference value of the positive half-period signal peak value and the negative half-period signal peak value;
B) only the positive half-period signal is detected to be complete, and the peak value of the full-period signal is twice the value of the peak value of the positive half-period signal;
C) only the negative half-period signal is detected to be complete, and the peak-to-peak value of the full-period signal is twice the absolute value of the peak value of the positive half-period signal;
D) and if the positive half period signal and the negative half period signal are detected to be incomplete, discarding the current period.
The above method is also applicable to sinusoidal single frequency signals or other periodic signals with slowly varying amplitude.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (5)
1. A time domain measurement method for a peak value of a signal of a passive magnetoelectric rotation speed sensor is characterized in that the method comprises the steps of firstly detecting whether a half-cycle waveform in a periodic signal output by the passive magnetoelectric rotation speed sensor is complete or not, and then utilizing the complete half-cycle waveform data to realize the measurement of the peak value of the signal in the whole cycle, wherein the periodic signal is a time domain discrete sampling signal;
extracting a half-cycle waveform in the periodic signal by using a zero crossing point detection method to obtain a positive half-cycle signal and a negative half-cycle signal;
the specific steps of detecting whether the half-cycle waveform is complete are as follows:
performing point-by-point differential operation on the time domain waveform sampling data of the half-cycle waveform, recording the times of the differential operation result exceeding a preset threshold, judging whether the times is less than a preset time, if so, judging that the current half-cycle waveform is complete, and if not, judging that the current half-cycle waveform is a half-cycle signal with transient pulse interference or spike/trough signals;
when detecting whether half-cycle waveform is complete, respectively detecting a positive half-cycle signal and a negative half-cycle signal extracted in a cycle, and having the following conditions:
A) if the positive half-period signal and the negative half-period signal are detected to be complete, the peak value of the full-period signal is the difference value of the positive half-period signal peak value and the negative half-period signal peak value;
B) only the positive half-period signal is detected to be complete, and the peak value of the full-period signal is twice the value of the peak value of the positive half-period signal;
C) only the negative half-period signal is detected to be complete, and the peak-to-peak value of the full-period signal is twice the absolute value of the peak value of the positive half-period signal;
D) and if the positive half period signal and the negative half period signal are detected to be incomplete, discarding the current period.
2. The passive magnetoelectric rotation speed sensor signal peak-to-peak time domain measuring method according to claim 1, characterized in that the periodic signal is low-pass filtered before the zero-crossing point detecting method is executed.
3. The passive magnetoelectric rotation speed sensor signal peak-to-peak time domain measuring method according to claim 1, characterized in that the periodic signal is subjected to a dc component removing process before the zero crossing point detecting method is executed.
4. The passive magnetoelectric rotation speed sensor signal peak-to-peak time domain measuring method according to claim 1, wherein the preset number of times includes 1 or 2.
5. The passive magnetoelectric rotation speed sensor signal peak-to-peak time domain measuring method according to claim 1, characterized in that the periodic signal comprises a sine-wave-like sensor signal, a sine single-frequency signal and a periodic signal with a slowly varying amplitude.
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| CN112504426B (en) * | 2020-11-20 | 2022-10-18 | 中国直升机设计研究所 | Peak search-based rotor blade vortex interference noise whole-period averaging method |
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| CN114719731B (en) * | 2022-06-08 | 2022-09-23 | 中国航发四川燃气涡轮研究院 | Blade tip clearance peak-to-peak value extraction method and blade rotating speed calculation method and device |
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