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- W2092202415 abstract "For sensor operation or remote interrogation of existing infrastructures, power is one of the key issues in wirelesssensing technology. The novel energy harvesting technique and its integration with wireless sensing systems are vital tothe next generation structural health monitoring systems. Energy harvesting devices convert the ambient energysurrounding the wireless sensors into electrical energy to extend the lifetime or reach unlimited lifespan of wirelesssensors. Mechanical vibrations, existing almost everywhere, have been investigated as a promising energy source forwireless sensors in many applications. Piezoelectric generators are the primary method for converting the vibrationenergy into electrical energy. Most piezoelectric vibration energy harvesters studied so far are based on simplecantilever-based design with resonant frequency matching the environmental resonant frequency. However, the energyconversion efficiency of this type of vibration energy harvester drops dramatically if the environmental frequency andthe frequency of the energy harvester are mismatched. This paper proposes a novel multi-mode piezoelectric vibrationenergy harvester that is suitable for structural health monitoring in an environment with multiple dominant vibrationmodes. The multi-mode piezoelectric vibration energy harvester has distributed stiffness and mass and has multipleresonant frequencies adapted to the environmental vibration modes. A multi-mode energy harvester with two interestedresonant modes is used as an example to demonstrate this new concept. The multi-mode energy harvester is modeledusing Finite Element Method. The efficiency of the multi-mode piezoelectric energy harvester is compared with that ofexisting cantilever-based piezoelectric energy harvester." @default.
- W2092202415 created "2016-06-24" @default.
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- W2092202415 date "2008-03-27" @default.
- W2092202415 modified "2023-09-24" @default.
- W2092202415 title "Multi-mode piezoelectric energy harvesters for wireless sensor network based structural health monitoring" @default.
- W2092202415 doi "https://doi.org/10.1117/12.780866" @default.
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