Energy Harvesting and Wireless Energy Transmission for Embedded SHM Sensor Nodes

Farinholt, Kevin; Miller, Nathan; Sifuentes, Wilfredo; Macdonald, J. E.; Park, Gyuhae; Farrar, Charles R.

doi:10.1177/1475921710366647

Cited by 36 publications

(25 citation statements)

References 20 publications

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“…These theoretical estimates were however obtained for a small scale piezoelectric harvester with a 2.5 g tip mass. In the paper of Farinholt et al [6], the use of multi-sources of ambient energy was experimentally investigated (thermal and vibration energy harvesters). Harvesting ambient bridge vibrations appeared to be most promising from the test results that were carried out with a piezo-electric generator of cantilevered beam type, 20 cm length.…”

Section: Introductionmentioning

confidence: 99%

Piezoelectric energy harvesting from traffic-induced bridge vibrations

Peigney¹,

Siegert²

2013

Smart Mater. Struct.

158

101

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Abstract. This paper focuses on energy harvesting of traffic-induced vibrations in bridges. Using a pre-stressed concrete highway bridge as a case study, in situ vibration measurements are presented and analyzed. From those results, a prototype of cantilever piezoelectric harvester was designed, tested, and modeled. Even though the considered bridge vibrations are characterized by small amplitude and a low frequency (i.e. below 15 Hz), it is shown that mean power of the order of 0.03 mW can be produced, with a controlled voltage between 1.8 and 3.6 V. A simple model is proposed for the theoretical prediction of the delivered power in terms of traffic intensity. That model shows good agreement with the experimental results and leads to a simple but effective design rule for piezoelectric harvesters to be used on bridges.Piezoelectric energy harvesting from traffic-induced bridge vibrations 2

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Section: Introductionmentioning

confidence: 99%

Piezoelectric energy harvesting from traffic-induced bridge vibrations

Peigney¹,

Siegert²

2013

Smart Mater. Struct.

158

101

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“…The determination of these values is presented in the next section. (6) to (10). The input is the signal corresponding to the mechanical vibration F shaker .…”

Section: Piezoelectricelectro-mechanical Conversionmentioning

confidence: 99%

“…The Bond Graph model of the piezoelectric electro-mechanical conversion is derived fro m equations (5) and (6) to (10) and is presented Figure 2. The three space directions are taken into account with the three branches corresponding to v 1 P , v 2 P and v 3 P .…”

Section: Piezoelectricelectro-mechanical Conversionmentioning

confidence: 99%

“…One can cite the works fro m Lefeuvre et al [7] and Lallart et al [8][9] who more specifically focused on the optimization of the loading circu it using non-linear techniques to increase the power harvested level. Farinholt et al [10] proposed an autonomous SHM system for civ ilian structures harvesting energy from mu ltip le environ ment sources, or periodically delivered by a RF energy source. In [11], Ferrari et al used several piezoelectric cantilever beams on wh ich different masses have been bonded to convert energy over an extended frequency range.…”

Section: Introductionmentioning

confidence: 99%

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Energy Harvesting Process Modelling of an Aeronautical Structural Health Monitoring System Using a Bond-Graph Approach

Sainthuile¹,

Grondel²,

Delebarre³

et al. 2013

AEROSPACE

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Energy Harvesting is a pro mising solution for powering Structural Health Monitoring (SHM ) systems since various mechanical energy sources are generated by aircraft. Today, the main technique to harvest energy consists of using a specific conversion device to provide power to the SHM system. In this paper however, a novel technique to obtain a self-powered SHM system for aeronautical structures is proposed. This SHM system aims to have a double functionality: it will carry out classical SHM tasks using piezoelectric transducers bonded onto the aircraft structure and will also be fully autonomous since the same transducers will convert the mechanical v ibrations of the structure into electrical power. Using a bonded piezoelectric t ransducer to harvest energy will also bring wideband frequency energy harvesting capability. Th is autonomous system using a unique transducer being particularly innovative, the objective of this paper is to provide a complete Bond Graph model of the energy harvesting process in order to allow the optimisation of its performances. This approach is well-suited to monitor the power and energy transfer carried out during the process since it takes into account the interaction between mu ltiphysics systems, here the electrical and mechanical domains in terms of power and energy variables. Consequently, each part of the energy harvesting, i.e. the mechanical v ibration of the host structure, the vibration within the SHM energy harvester volume, the piezoelectric electro mechanical conversion and the terminal electric load have been modelled analytically using this Bond Graph approach. Then, each submodel has been verified with a baseline Fin ite Element model. Good agreements have been found and it has been possible to carry out an estimat ion of the power harvested by the SHM energy harvester for a given mechanical excitation using this innovative complete analytical Bond Graph model.

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“…Recently, progresses in compact circuit technologies like sensors and wireless systems have made it possible to use autonomous systems. These systems do not need an independent source for supplying energy and they can obtain it from environmental energy sources such as solar energy, wind energy and thermal gradients, Nagayama et al (2010), Park et al (2010), Farinholt et al (2010). But, each of the mentioned environmental resources has their own problems.…”

Section: Introductionmentioning

confidence: 99%

TLP Structural Health Monitoring Based on Vibration Signal of Energy Harvesting System

Jahangiri

Mirab

Fathi

et al. 2016

Lat. Am. j. solids struct.

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Structural Health Monitoring (SHM) of Tension Leg Platform (TLP) is very crucial for preventing catastrophic and sudden collapse of the structures. One of the methods of monitoring these structures is implementing SHM sensors. Supplying energy for these sensors for a long period is a challenging problem. So, one of the new methods of supplying energy for SHM, is usage of mechanical energy. In this method, the piezoelectric material is employed to convert the mechanical energy which is resulted from vibration of structure, to electrical energy. The advantage of this method is based on not implementing the battery charging system. Therefore, in this paper, after modeling TLP structure, energy supplying of these sensors with piezoelectric converters is studied. Furthermore, fault diagnosis of these structures in the presence of different uncertainties is proposed by the features of voltage signal, produced from piezoelectric patches and fuzzy classification method. Results show that this method can diagnose faults of the structure with an acceptable success rate.

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Energy Harvesting and Wireless Energy Transmission for Embedded SHM Sensor Nodes

Cited by 36 publications

References 20 publications

Piezoelectric energy harvesting from traffic-induced bridge vibrations

Piezoelectric energy harvesting from traffic-induced bridge vibrations

Energy Harvesting Process Modelling of an Aeronautical Structural Health Monitoring System Using a Bond-Graph Approach

TLP Structural Health Monitoring Based on Vibration Signal of Energy Harvesting System

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