## Advances in Structural Health Management and Composite Structures 2012

View this Special IssueResearch Article | Open Access

Dae-Hyun Kim, Jin-Hyuk Lee, Byung-Jun Ahn, "Measurement of Microvibration by Using Dual-Cavity Fiber Fabry-Perot Interferometer for Structural Health Monitoring", *Shock and Vibration*, vol. 2014, Article ID 702404, 5 pages, 2014. https://doi.org/10.1155/2014/702404

# Measurement of Microvibration by Using Dual-Cavity Fiber Fabry-Perot Interferometer for Structural Health Monitoring

**Academic Editor:**Gyuhae Park

#### Abstract

Extensive researches have recently been performed to study structural integrity using structural vibration data measured by in-structure sensors. A fiber optic sensor is one of candidates for the in-structure sensors because it is low in cost, light in weight, small in size, resistant to EM interference, long in service life, and so forth. Especially, an interferometric fiber optic sensor is very useful to measure vibrations with high resolution and accuracy. In this paper, a dual-cavity fiber Fabry-Perot interferometer was proposed with a phase-compensating algorithm for measuring micro-vibration. The interferometer has structurally two arbitrary cavities; therefore the initial phase difference between two sinusoidal signals induced from the interferometer was also arbitrary. In order to do signal processing including an arc-tangent method, a random value of the initial phase difference is automatically adjusted to the exact 90 degrees in the phase-compensating algorithm part. For the verification of the performance of the interferometer, a simple vibration-test was performed to measure micro-vibration caused by piezoelectric transducer (PZT). As an experimental result, the interferometer attached on the PZT successfully measured the 50 Hz-vibration of which the absolute displacement oscillated between −424 nm and +424 nm.

#### 1. Introduction

Advanced sensor and structural monitoring technology can play an important role in prioritizing repair and rehabilitation process, improving the cost effectiveness of inspection and maintenance, and ultimately enhancing the longevity and safety of large-scale mechanical systems. Extensive researches have recently been performed to study structural integrity using structural vibration data measured by in-structure sensors [1, 2]. One of the major obstacles preventing sensor-based monitoring is however the unavailability of reliable, easy-to-install, and cost-effective sensors. In particular, civil engineering structures place unique demands on sensors. Besides accuracy, sensors and their cables are expected to be reliable, low in cost, light in weight, small in size, resistant to EM interference, and long in service life. They are required to withstand harsh environments, be moisture-, explosion-, and lightning-proof, and corrosion-resistant. Furthermore, civil structures are usually very large, demanding easy cabling of the sensors. It is very difficult, if not impossible, for the currently available electric-type sensors to satisfy these demanding requirements.

Emerging fiber optic sensor technologies have shown great potential to overcome the difficulties associated with the conventional sensors. They are immune to EM noise and electric shock and thus can be used in explosion-prone areas. Several kinds of fiber optic sensors have been developed over the last two decades to take advantage of these merits [3–6]. There have also been many field applications of fiber optic sensors for health monitoring of engineering structures [7–9]. Among them, an interferometric fiber optic sensor is very useful to measure vibrations with high resolution and accuracy.

In this paper, a dual-cavity fiber Fabry-Perot interferometer was proposed with a phase-compensating algorithm. The sensor is structurally similar to a quadrature-phase-shifted fiber Fabry-Perot interferometer (QPS-FFPI); however, mechanical adjustment of two cavities is not needed because of the phase-compensating algorithm. Basically, the mechanical adjustment of two cavities is required in the QPS-FFPI in order to take two sinusoidal signals which have an initial phase difference of exact 90 degrees [10, 11]. However, the mechanical adjustment is very difficult, sometimes impossible. In the phase-compensating algorithm, a random value of the initial phase difference can be automatically adjusted to the exact 90 degrees. As a result, we can exactly measure the phase of the sinusoidal signal induced from the dual-cavity fiber Fabry-Perot interferometer by using an arc-tangent method. For the verification of the performance of the interferometer, a simple vibration test was performed to detect microvibration caused by piezoelectric transducer (PZT). As a result, it showed that the dual-cavity fiber Fabry-Perot interferometer successfully measured the microvibration with the assistance of the phase-compensating algorithm.

#### 2. Dual-Cavity Fiber Fabry-Perot Interferometer

Theoretically, an interferometric fiber optic sensor generates a sinusoidal signal of which phase is changed periodically by the variation of external environment. A fiber Fabry-Perot interferometer is also one of interferometric fiber optic sensors and it can measure microvibration precisely because of its high sensitivity and accuracy. In this paper, two fiber Fabry-Perot interferometers are used as one sensor called a dual-cavity fiber Fabry-Perot interferometer. Figure 1 shows a sensor head of the dual-cavity fiber Fabry-Perot interferometer. As shown in Figure 1, two pairs of optical fibers in the sensor generate two sinusoidal signals because of optical interference. An initial phase difference between the output signals of and should be 90 degrees for using an arc-tangent method. So, the initial phase difference is adjusted to the exact 90 degrees in the case of QPS-FFPI by the mechanical adjustment of the cavities of and . However, the dual-cavity fiber Fabry-Perot interferometer has arbitrary values of and ; therefore, the output signals have an initial phase difference () as a random value as shown in Figure 2. This condition is a major difference between the dual-cavity fiber Fabry-Perot interferometer and the conventional QPS-FFPI.

#### 3. Signal Processing with Phase-Compensating Algorithm

As mentioned in the previous section, the dual cavity fiber Fabry-Perot interferometer has an arbitrary value of the initial phase difference between two output sinusoidal signals. Therefore, it is needed for the measurement of displacement that the initial phase difference is forcibly adjusted to the exact 90 degrees. In this section, a signal processing part is introduced with a phase-compensating algorithm in which the initial phase difference is automatically changed to the exact 90 degrees. A detailed explanation is following. Firstly, the intensity signals of the two pairs of optical fibers with an arbitrary initial phase difference () can be expressed in (1) and (2) as follows. Secondly, these two sinusoidal signals are needed to be normalized as shown in (3) and (4). Consider where and are amplitudes of sinusoidal signals and and are values of offsets. is a cavity between two optical fibers of the interferometer as shown in Figure 1. Thirdly, the normalized signals and are used for generating a new sinusoidal signal of which wavelength is the same as the normalized signal of . The phase difference between the new sinusoidal signal and is exactly 90 degrees. The new sinusoidal signal is expressed in The equations for calculating the displacement of can be expressed as follows: As a result, the displacement can be successfully measured by calculating the phase-shifting.

#### 4. Measurement of Microvibration

##### 4.1. Experimental Setup and Procedures

Figure 3 shows an experimental setup to measure microvibration by using the dual-cavity fiber Fabry-Perot interferometer with the phase-compensating algorithm. An actuating system is composed of a linear amplifier (PIEZO, EPA-104-230), a function waveform generator (AGILENT, 33522A), and PZT (FUJI CERAMICS, C82). A sensing system is also composed of a tunable laser (AGILENT, 81949A) as a laser source, two photodetectors (NEWFOCUS, 2117) as laser receivers, and a dual-cavity fiber Fabry-Perot interferometer (gauge length = 10.2 mm) which is attached on the surface of the PZT as shown in Figure 3.

In detail, these optical components are combined by using one coupler and two circulators as shown in Figure 4. Two photodetectors are connected to an oscilloscope (AGILENT, DSO6034A) to observe and save the output signals induced from the dual-cavity fiber Fabry-Perot interferometer.

Experimental procedures are the following. Firstly, the wavelength of the tunable laser is set as 1542 nm, and a 50 Hz-sinusoidal signal is generated from the function waveform generator. Secondly, the amplitude of the sinusoidal signal is forced to be gradually increased by controlling the gain value of the linear amplifier. Thirdly, two output signals induced from the dual-cavity fiber Fabry-Perot interferometer are measured by the oscilloscope. Finally, the absolute value and variation of the displacement are calculated in a signal processing software including the phase-compensating algorithm explained in the previous section.

##### 4.2. Experimental Results

Figure 5 shows two sinusoidal signals induced from the dual-cavity fiber Fabry-Perot interferometer. A low pass filter of which the cut-off frequency was 190 Hz was applied to the signals for noise reduction. The first step of the signal processing was to normalize these two sinusoidal signals by using minimum and maximum values of the sinusoidal signals. The second step was to generate a new sinusoidal signal by using these two normalized sinusoidal signals and the initial phase difference ().

Figure 6 shows the normalized sinusoidal signals and the newly generated sinusoidal signal . It was also checked out that the phase difference between and was exactly 90 degrees. The phase of or and the absolute value of the displacement were calculated by using (6) as explained in Section 3. Figure 7 shows the calculated displacement which oscillates between −424 nm and +424 nm. The frequency of the oscillating displacement was also checked by a spectrum analysis. Figure 8 shows the result of the spectrum analysis that the frequency is the same as the excitation frequency of 50 Hz. From the experiment, it is verified that the dual-cavity fiber Fabry-Perot interferometer can successfully measure the microvibration by using the phase-compensating algorithm.

#### 5. Conclusions

In this paper, a dual-cavity fiber Fabry-Perot interferometer was proposed with a phase-compensating algorithm. The dual-cavity fiber Fabry-Perot interferometer generates two sinusoidal signals of which initial phase difference was a random value. In the phase-compensating algorithm, the random value of the initial phase difference can be automatically adjusted to the exact 90 degrees. As a result, we can exactly measure the phase of the sinusoidal signal induced from the dual cavity fiber Fabry-Perot interferometer by using an arc-tangent method. For the verification of the performance of the interferometer, an experimental test was performed. In the experiment, a dual-cavity fiber Fabry-Perot interferometer was fabricated and attached on the surface of the PZT. The interferometer was excited by the PZT and two output sinusoidal signals were processed with the phase-compensating algorithm to measure the displacement of the PZT. As a result, the interferometer successfully measured the displacement induced by the PZT. In detail, the PZT led to 50 Hz mechanical vibration and the interferometer attached on the PZT successfully measured the same vibration of which the absolute displacement oscillated between −424 nm and +424 nm. Furthermore, it is expected that the dual-cavity fiber Fabry-Perot interferometer can be applied to more precise and accurate vibration measurement with the phase-compensating algorithm.

#### Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

#### Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2010-0004312) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2007061).

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#### Copyright

Copyright © 2014 Dae-Hyun Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.