Analyzing Distributed Vibrating Sensing Technologies in Optical Meshes

Hundreds of kilometers of optical fibers are installed for optical meshes (OMs) to transmit data over long distances. The visualization of these deployed optical fibers is a highlighted issue because the conventional procedure can only measure the optical losses. Thus, this paper presents distributed vibration sensing (DVS) estimation mechanisms to visualize the optical fiber behavior installed for OMs which is not possible by conventional measurements. The proposed technique will detect the power of light inside the optical fiber, as well as different physical parameters such as the phase of transmitted light inside the thread, the frequency of vibration, and optical losses. The applicability of optical frequency domain reflectometry (OFDR) and optical time-domain reflectometry (OTDR) DVS techniques are validated theoretically for various state detection procedures in optical fibers. The simulation model is investigated in terms of elapsed time, the spectrum of a light signal, frequency, and the impact of many external physical accidents with optical fibers.

Ultrasensitive and Highly Stretchable Fiber with Dual Conductive Microstructural Sheaths for Human Motion and Micro Vibration Sensing

Conductive and stretchable fibers are important components of the increasingly popular wearable electronics to meet the design requirements of excellent electrical conductivity, stretchability, and wearability. In this work, we developed...

An Autonomous Vibration-Sensing System for Power Transmission Lines Monitoring

An autonomous vibration-sensing system including of ring magnetoelectric energy scavenger, an energy management module, a plurality of wireless acceleration sensor nodes and APP mobile terminal for power transmission lines monitoring was presented. The ring-type ferrite/piezoelectric composite with strong magnetoelectric couplings and a coil wound around it is used to scavenge the electromagnetic energy around the conductor, and the energy management module successively fulfill the functions of inductive/capacitive resonance matching, rectification and voltage stabilization and storage/release of the scavenged electric energy, and then provides driving power for signal acquisition and data transmission of 4G wireless acceleration sensor nodes. Testing results show that the collected energy can fulfill the power-supplying requirements of ADXL345, and the real-time as well as historical data curves within a specified time can be acquired through 4G and narrowband internet of things technologies.

Phase Noise Characterization in Phase-Sensitive OTDR Systems

<div>Coherent detected phase-OTDR (CDPO) systems are mainly used in distributed vibration sensing and these systems are preferred over the direct detected phase-OTDR (DDPO) systems due to their inherent property of mitigating a certain type of phase noise. There is a possibility that the existing non-mitigated phase noise can be controlled in CDPO systems only after properly investigating the characteristics of both the CDPO mitigated and CDPO-non-mitigated noise types. Hence, the first and crucial step, i.e, the characteristics of two different phase noise types are determined in this paper. This determination will help in providing ease about finding the real sources of both of the phase noise types and hence can help in mitigating the existing phase noise further.</div>

Phase Noise Characterization in Phase-Sensitive OTDR Systems

<div>Coherent detected phase-OTDR (CDPO) systems are mainly used in distributed vibration sensing and these systems are preferred over the direct detected phase-OTDR (DDPO) systems due to their inherent property of mitigating a certain type of phase noise. There is a possibility that the existing non-mitigated phase noise can be controlled in CDPO systems only after properly investigating the characteristics of both the CDPO mitigated and CDPO-non-mitigated noise types. Hence, the first and crucial step, i.e, the characteristics of two different phase noise types are determined in this paper. This determination will help in providing ease about finding the real sources of both of the phase noise types and hence can help in mitigating the existing phase noise further.</div>