3. Experimental Setup and Results
For the experiment, the source of vibration signals is a full-range speaker with 8Ω-3W. Each sensor is fixed at a support frame to have the height of 45mm above the speaker. The signal generator generates a sine wave signal with an amplitude of 300mV
pp to be amplified by a signal amplifier to create 6 V
pp signals to drive the speaker as shown in
Figure 3. The output frequency of the signal generator is tuned in the range from 20 to 2000Hz at every step is 20Hz interval for the overall measurement. The frequency of vibration signals from 0 to 100Hz is defined as the low frequency band, 100 to 1000Hz is defined the mid-frequency band, and above 1000Hz is defined as the high frequency band.
For confirming the frequency response of the output signals of the speaker, we firstly use the no-packaged bare-fiber grating to directly glue on the surface of the speaker to sense the vibration signals. This original frequency response can be obtained for providing the comparison with that of another sensing heads. The original frequency response is obtained as shown in
Figure 4 acting as a benchmark for comparing the sensing performance by using different packaged-structures.
The overall experimental set-up is shown in
Figure 5 in which the output light of the broadband spontaneous emission light source (ASE Light Source) is put into the first fiber circulator and then to launch into the matching fiber grating (Match Gating, MG) to get the grating reflection signal which is input into the second fiber circulator. The overlapping spectrum between the matching grating and sensing grating (SG) from the port 3 of second fiber circulator is sent to the photodetector (InGaAs). finally converted into an electrical signal by a photodetector and connected to an oscilloscope. In addition, the center wavelength of the matching fiber grating and the sensing fiber grating must be the same after selection, because the light energy finally transmitted to the photoelectric converter will be determined according to the overlapping area of the sensing center wavelength and the matching center wavelength. During the process, the change of light energy will be displayed on the oscilloscope, and the waveform will be reflected as a sine wave signal, so that the amplitude and frequency of the vibration wave can be observed and analyzed.
For comparing the experimental results in different sensing structures, the film squeeze type is used for detecting vibration signals in the mid-high frequency range from 260 to 1000Hz and in the mid-low frequency range from 100 to 150Hz. Because the vibration amplitude of the bottom film is too large, the irregular oscillation makes the waveform distortion as shown in
Figure 6(a). In the intermediate frequency band, although the amplitude is not large, the waveform can be measured stably as shown in
Figure 6(b), (c). For the signals above 2000Hz, it is difficult to be measure due to the small vibration amplitude and the soft absorption characteristics of the film. The overall signal measurement with its frequency response spectrum is shown in
Figure 7.
The elastic-tape squeeze type shows its material properties for the frequency range from 100 to 200Hz, and has a high signal amplification effect, but also due to the excessive deformation of the fiber grating, the waveform distortion is shown in
Figure 8(a), (b). However, the characteristic of this structure is that it has a significant sensing effect in the high frequency range from 1100 to 2500Hz. The main reason is that the stretching effect of the elastic tape is better, and it is not easy to absorb the signal amplitude, so that it can measure up to about 3100Hz. The sensor with the best mid- and high-frequency response is shown in
Figure 8(c), (d); and in the frequency response, it can also be observed that compared with unstructured fiber grating, its high-frequency response is about 2 times that of a pure grating and the waveform is stable, as shown in
Figure 9; the sensor with the best high-frequency response in the experiment is an elastic tape squeeze structure.
For improving the low-frequency sensing performance, a probe is installed at the bottom of the elastic tape squeeze sensor as shown in
Figure 10 by directly contacting the vibration source created by the speaker. We can find that the frequency signals lower than 100Hz can be measured by this method. The frequency of the lowest signal is enhanced to the signal of 10Hz as shown in
Figure 11 which can measure the signal frequency range from 10 to 500Hz. Due to the small vibration amplitude in the middle and high frequency bands, the sensing performance will be decayed by using the probe contact method.
For solving the limitation of the film squeeze sensor only to be held at a fixed height, a new film squeeze structure is proposed to improve this problem. The frequency response spectrum of the new film squeeze structure is shown in
Figure 12. We can see that owing to the effect of the sensing support fixing frame the amplitude gain response is nice in the frequency from 100 to 250Hz. But the film vibrates too big to cause the drift of the grating center wavelength to exceed the matching grating range and then to sense the waveform with the phenomenon of positive peak interception as shown in
Figure 13 (a). This is attributed to that the high sensitivity of the new film structure sensor in this frequency band. If the amplitude of vibration signal is decreased, this sensor has a nice capability to measure the signal of this frequency band as shown in
Figure 13 (b). This sensor has a stable sensing performance in the mid-frequency range from 100 to 1000Hz as shown in
Figure 13 (c), (d).
However, in order to clearly understand the sensing sensitivity of each sensor, a sine wave from the signal generator with a frequency of 300Hz is amplified and adjusted to be the output voltage range from 2 V
pp to 20 V
pp per 2 V
pp to drive the speaker. The output signals of the photodetector detecting from the sensing-head optical signals are monitored for obtaining the relationship between the output and input amplitudes as shown in
Figure 14. From the figure, we can see that the measurement curves between the output and the input voltages for the sensors are almost linear. The sensitivity of each sensor is the curve slope which can also be linearly fitted from each line segment in the figure. From the curves, the sensitivity of 35 mV/V for the new film squeeze type at 300Hz is obtained and the sensitivity of the elastic tape squeeze type is 15 mV/V at 300Hz. Thus the sensitivity of the new film squeeze structure in the intermediate frequency is higher than that of other types of sensors.
In addition to monitoring the time-domain signals from the output signals of photodetector, it is required to obtain frequency information of sensing signals. Different digital signal algorithms are used for confirming the frequency spectrum of sensing signals. The actual sensing signals are usually not a single frequency or a stable amplitude. By using the Fourier transform, it is difficult to simultaneously obtain the signal spectrum at various time points. Therefore, in order to improve this problem, the wavelet analysis (Continuous Wavelet Transform, CWT) is used for this signal analysis [
14]. The following formula shows the theoretical expression of wavelet analysis:
where
ψ(t) is a continuous function in both time domain and frequency domain. Since it introduces a special window function for calculation, the low-frequency component is calculated with long-term series and narrow bandwidth and the high-frequency component is calculated with a short time series and a wide bandwidth to obtain the timing of the frequency to be reflected in the time series of the signal as shown in
Figure 15 in which the time-domain signal is measured by a new film squeeze sensor. By using the fast Fourier transform analysis, the vibration signal has the frequency changes from 100Hz to 300Hz within 0.5 seconds as shown in
Figure 16. From this figure, we can see that the spectral distribution is mainly focused the frequency range from 100Hz to 300Hz. It shows the sensing signals with the components of 100Hz~300Hz
Figure 17 is a wavelet analysis diagram in which the color contrast is used to distinguish different time points and the amplitude of the components that appear at each frequency. The marked-red region shows that within the time variation the appearance time of frequency components from 100Hz to 300Hz is extending from the bottom left to the top right, it can be known that the vibration signals whose frequency changes with time rather than a mixing signal, which can reduce the misjudgment of the spectrum.