Wireless sensor nodes for generic signal conditioning: Application to Structural Health Monitoring of wind turbines

Herrasti, Z.; Val, Iñaki; Gabilondo, Iosu; Berganzo, J.; Arriola, Aitor; Martínez, Fernando Rey

doi:10.1016/j.sna.2016.06.027

Cited by 27 publications

(11 citation statements)

References 21 publications

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“…Since a few acquisitions with different input acceleration amplitudes were performed for each tested frequency, the standard uncertainty u c was estimated as the standard deviation for each of these amplitudes. Then, the expanded uncertainty was determined according to (2):…”

Section: Shaker Testmentioning

confidence: 99%

“…The shift of the research in the SHM field from traditional wired systems towards the use of Wireless Smart Sensors (WSS) has also been motivated by other attractive features, such as the wireless communication, on-board computation, low cost, small size, and performances nearly equivalent to wired sensors. Furthermore, the reduction in cost and size of wireless sensors allows an important measurement redundancy, with the deployment of several nodes in the structure subject to monitoring [ 1 , 2 , 3 , 4 , 5 , 6 ]. In this framework, the sensor node object of the present work has been developed at the Mechanical Department of Politecnico di Milano, named “WindNode”, since it has been created with the aim of performing SHM through acceleration measurements on structures mainly subject to wind-induced vibrations.…”

Section: Introductionmentioning

confidence: 99%

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Design and Field Validation of a Low Power Wireless Sensor Node for Structural Health Monitoring

Zanelli

Dezza

Tarsitano

et al. 2021

Sensors

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Smart monitoring systems are currently gaining more attention and are being employed in several technological areas. These devices are particularly appreciated in the structural field, where the collected data are used with purposes of real time alarm generation and remaining fatigue life estimation. Furthermore, monitoring systems allow one to take advantage of predictive maintenance logics that are nowadays essential tools for mechanical and civil structures. In this context, a smart wireless node has been designed and developed. The sensor node main tasks are to carry out accelerometric measurements, to process data on-board, and to send wirelessly synthetic information. A deep analysis of the design stage is carried out, both in terms of hardware and software development. A key role is played by energy harvesting integrated in the device, which represents a peculiar feature and it is thanks to this solution and to the adoption of low power components that the node is essentially autonomous from an energy point of view. Some prototypes have been assembled and tested in a laboratory in order to check the design features. Finally, a field test on a real structure under extreme weather conditions has been performed in order to assess the accuracy and reliability of the sensors.

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Section: Shaker Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Field Validation of a Low Power Wireless Sensor Node for Structural Health Monitoring

Zanelli

Dezza

Tarsitano

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…telecommunications and electricity towers), is another relevant application of structural health. For instance, monitoring the proper operation of wind turbines by means of a sensor network made up of accelerometers, as is described in [26] and [27]. Additionally, in [28] the authors point out the significance of an earthquake catalogue for those zones where essential infrastructures require be located.…”

Section: Related Workmentioning

confidence: 99%

Reliable Data Acquisition System for a Low-Cost Accelerograph Applied to Structural Health Monitoring

Muñoz

Guevara

González

et al. 2021

J. Appl. Sci. Eng. Technol. Educ.

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This paper presents and evaluates a continuous recording system designed for a low-cost seismic station. The architecture has three main blocks. An accelerometer sensor based on MEMS technology (Microelectromechanical Systems), an SBC platform (Single Board Computer) with embedded Linux and a microcontroller device. In particular, the microcontroller represents the central component which operates as an intermediate agent to manage the communication between the accelerometer and the SBC block. This strategy allows the system for data acquisition in real time. On the other hand, the SBC platform is used for storing and processing data as well as in order to configure the remote communication with the station. This proposal is intended as a robust solution for structural health monitoring (i.e. in order to characterize the response of an infrastructure before, during and after a seismic event). The paper details the communication scheme between the system components, which has been minutely designed to ensure the samples are collected without information loss. Furthermore, for the experimental evaluation the station was located in the facilities on a relevant infrastructure, specifically a hydroelectric dam. The system operation was compared and verified with respect to a certified accelerograph station. Results prove that the continuous recording system operates successfully and allows for detecting seismic events according to requirements of structural health applications (i.e. detects events with a frequency of vibration less than 100 Hz). Specifically, through the system implemented it was possible to characterize the effect of a seismic event of 4 MD reported by the regional seismology network and with epicenter located about 30 Km of the hydroelectric dam. Particularly, the vibration frequencies detected on the infrastructure are in the range of 13 Hz and 29 Hz. Regarding the station performance, results from experiments reveals an average CPU load of 51%, consequently the processes configured on the SBC platform do not involve an overload. Finally, the average energy consumption of the station is close to 2.4 W, therefore autonomy provided by the backup system is aroud of 10 hours.

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“…Moreover, widespread industrial solutions (e.g. ISA 100.11a) do not provide tools for guaranteeing sampling synchronization, which is critical for certain applications, therefore a TDMA MAC has been placed on top of the physical layer and specific synchronization elements have been added for obtaining synchronized analogue digital converter conversions in nodes [56]. Finally, the necessary calculations to obtain torque values (Nm) are done in a computer connected to the gateway.…”

Section: Press Machine Maintenancementioning

confidence: 99%

Advanced sensor-based maintenance in real-world exemplary cases

et al. 2020

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Collecting complex information on the status of machinery is the enabler for advanced maintenance activities, and one of the main players in this process is the sensor. This paper describes modern maintenance strategies that lead to Condition-Based Maintenance. This paper discusses the sensors that can be used to support maintenance, as of different categories, spanning from common off-the-shelf sensors, to specialized sensors monitoring very specific characteristics, and to virtual sensors. This paper also presents four different real-world examples of project pilots that make use of the described sensors and draws a comparison between them. In particular, each scenario has unique characteristics requiring different families of sensors, but on the other hand provides similar characteristics on other aspects.

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Wireless sensor nodes for generic signal conditioning: Application to Structural Health Monitoring of wind turbines

Cited by 27 publications

References 21 publications

Design and Field Validation of a Low Power Wireless Sensor Node for Structural Health Monitoring

Design and Field Validation of a Low Power Wireless Sensor Node for Structural Health Monitoring

Reliable Data Acquisition System for a Low-Cost Accelerograph Applied to Structural Health Monitoring

Advanced sensor-based maintenance in real-world exemplary cases

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