Damage identification in structural health monitoring: a brief review from its implementation to the Use of data-driven applications

The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.Peer ReviewedPostprint (published version

320-to-10 Gbit/s all-optical demultiplexing using sum-frequency generation in PPLN waveguide

A 320-to-10 Gbit/s all-optical demultiplexer based on sum-frequency generation in a periodically-poled lithium niobate (PPLN) waveguide is demonstrated. A bit-error-rate of 10-9 is achieved with a power penalty of 1.5 dB

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Abstract-We discuss high-speed optical signal processing for telecom applications. We focus on the optical wavelength conversion and self-clocking, respectively. In the optical wavelength conversion, we report 40 Gb/s wavelength conversion that is capable of converting the same wavelength using a single semiconductor optical amplifier. Experimental proofs are presented. In addition, we report a novel self-clocking method based on in-band clock pilot insertion at the transmission data signal. The method provides clock recovery without an ultrafast phase comparator and a phase-locked loop in the receiver. Fast synchronization, low timing jitter and a highly stable recovered clock is demonstrated from 160 Gb/s OTDM data signal after 51-km fiber transmission

650 Gbit/s OTDM transmission over 80 km SSMF incorporating clock recovery, channel identification and demultiplexing in a polarisation insensitive receiver

International audienc

Optical switching and detection of 640 Gbits/s optical time-division multiplexed data packets transmitted over 50 km of fiber

We demonstrate 1×4 optical-packet switching with error-free transmission of 640¿Gbits/s single-wavelength optical time-division multiplexed data packets including clock distribution and short pulse generation for optical time demultiplexing based on a cavityless pulse source

Scalable optical packet switches for multiple data formats and data rates packets

Abstract-We demonstrate an optical packet switch (OPS) subsystem employing in-band labeling to allow for transparent routing of packets with multiple data formats and data bit rates. Packets employing in-band labels can be processed without the need to reconfigure the label processor and the switch when changing data format and bit-rate. The label processor is based on asynchronous optical signal processing in combination with a simple electronic combinatory network. This makes the label processor capable to process a large number of labels with low latency time ( 3 ns) without complicated and power-hungry high-speed packet clock recovery and serializer/deserializer circuits. Experimental results show error-free operation of 1 64 OPS subsystem for 160-Gb/s return-to-zero ON-OFF keying and 120-Gb/s nonreturn-to-zero differential phase-shift keying multiwavelength packets. Index Terms-Fiber Bragg grating (FBG), label processor, optical packet switching, optical signal processing, optical switch