Abstract
The authors identified errors in [1, eq. (1)] , which states \begin{align*} P_{R\leftarrow T}[\Psi (\theta,\phi)]=\frac {1}{4\pi }& \left({\frac {\lambda _{0}}{4\pi d}}\right)^{2} & \times \,P_{in}G_{R}^{2}(\theta,\phi)\eta ^{2}_{p}RCS[\Psi (\theta,\phi)].\end{align*} Knowing that the dimensions of $P_{R\leftarrow T}$ function, $\lambda _{0}$ , $ P_{\mathrm {in}}, ~d$ , and RCS function are watt, meter, watt, meter, and square meter, respectively, also $\eta _{p}$ and $G_{R}$ functions do not have any dimension—it is seen that both sides of [1, eq. (1)] are not in the same dimension. Looking at another reference, [2, eq. (3)] , it is seen that the mathematical power of $d$ is equal to 2 \begin{align*} P_{R\leftarrow T}[\Psi (\theta,\phi)]=\frac {1}{4\pi }& \left({\frac {\lambda _{0}}{4\pi d^{2}}}\right)^{2} \\[-1pt]&\times \,P_{in}G_{R}^{2}(\theta,\phi)\eta ^{2}_{p}RCS[\Psi (\theta,\phi)]\end{align*} and the mathematical power of $d$ is not 1 as given in [1, eq. (1)] . However, the rest of the paper and analysis given in [1] are still correct.
Highlights
S TRUCTURAL health monitoring (SHM) and structural integrity evaluation (SIE) based on radio frequency identification (RFID) in the ultrahigh frequency (UHF) band are receiving more and more attention because of their wireless, passive, and low-cost characteristics
Principal component analysis (PCA) and independent component analysis (ICA)based pattern recognition algorithms can be used to extract the dominant variance and statistically separate the sensed signal from the interference, which have been applied in the field of nondestructive testing and evaluation (NDT&E) to analyze data from pulsed eddy current testing for detecting metal loss [31], cracks in multilayer structures [32], and corrosion [33]
A 3-D UHF RFID tag antenna has been designed to sense the corrosion in metals
Summary
S TRUCTURAL health monitoring (SHM) and structural integrity evaluation (SIE) based on radio frequency identification (RFID) in the ultrahigh frequency (UHF) band are receiving more and more attention because of their wireless, passive, and low-cost characteristics. The challenges of RFID sensor system for remotely monitoring the defects of metallic objects need to address the design and development of a metalmountable antenna for both sensing and communication, to remote access for data collection (interrogation) with good signal-to-noise ratio subjected to environment interference, and to extract features for information required [15], [16]. In the RFID sensor system, the contributions of the multiparameter from the defect mix with multiple influences from the environment To this end, principal component analysis (PCA) and independent component analysis (ICA)based pattern recognition algorithms can be used to extract the dominant variance and statistically separate the sensed signal from the interference, which have been applied in the field of NDT&E to analyze data from pulsed eddy current testing for detecting metal loss [31], cracks in multilayer structures [32], and corrosion [33]. Conclusions will be drawn and future work will be pointed out
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