Wireless Sensing of Flow-Induced Vibrations for Pipeline Integrity Monitoring

Awawdeh, A.; Bukkapatnam, Satish T. S.; Kumara, Soundar; Bunting, Charles F.; Komanduri, R.

doi:10.1109/sam.2006.1677169

Cited by 9 publications

(4 citation statements)

References 2 publications

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“…Matthew [40] [62] used one accelerometer to measure vibration signals in pipes involving different materials and sizes and showed that there was a definite relationship between pipe vibration and flow rate. Amjad [63] proposed an ad hoc wireless network coupled with accelerometers to monitor flow rate. Yanfeng et al [64] performed multiphase flow experiments and found that the standard deviation of the vibration signal and the gas-liquid flow rate can be approximated as a function of gas mass fraction.…”

Section: The Development Of Tbl Induced Vibrationmentioning

confidence: 99%

In-Situ Modal Response Characterization of Pipe Structures Through Reynolds Number Variation

Chen

Hugo

Park

2018

Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining

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The modal response characterization of structures is a proven and reliable technique used to monitor system behavior and change, providing information for condition assessment and damage identification. In traditional modal response characterization procedures, an external mass excitation source is used to excite the system, and this is modeled as an impact function. This provides system forcing across a broad range of frequencies. In this investigation, an in-situ method of system excitation is explored. The modal characteristics of externally-supported pipe structures are investigated by varying the flow Reynolds number (Red). Given the increase in flow turbulence with Reynolds number, hydrodynamic pressure fluctuations on the pipe wall provide a varying excitation source. This removes the requirement for an external excitation source. A comparative analysis of data sets collected for both Acrylic and ABS pipe material show similar pressure spectra, while vibration spectra change significantly. Pressure spectra reveal a character whereby the spectral energy increases with increasing Reynolds number. A comparison of in-situ results to those obtained using traditional impact response tests show that vibration spectra collected through Reynolds number variation successfully capture the modal characteristics of the pipe-structure.

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Section: The Development Of Tbl Induced Vibrationmentioning

confidence: 99%

In-Situ Modal Response Characterization of Pipe Structures Through Reynolds Number Variation

Chen

Hugo

Park

2018

Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining

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“…Selected examples on the use of sensor networks for continuous monitoring of passive components and structures are presented next. Application of a WSN coupled with accelerometer sensors for non-invasive monitoring of flow rate and other flow patterns in pipeline networks is presented in Awawdeh et al 86 The sensors track flow-induced vibrations to directly estimate the change in the flow rate, which may be used as an early warning of integrity loss in pipelines. WSN systems with on-board off-the-shelf acoustic, vibration, and temperature sensors have also been used in the past to detect degradation such as wall thinning in pipes through temperature or noise measurements and to detect leakage through real-time analysis of flow and pressure measurements.…”

Section: Wireless Sensor Technologymentioning

confidence: 99%

Task 1. Monitoring real time materials degradation. NRC extended In-situ and real-time Monitoring

Bakhtiari

2012

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The overall objective of this project was to perform a scoping study to identify, in concert with the nuclear industry, those sensors and techniques that have the most promising commercial viability and fill a critical inspection or monitoring need. Candidates to be considered include sensors to monitor real-time material degradation, characterize residual stress, monitor and inspect component fabrication, assess radionuclide and associated chemical species concentrations in ground water and soil, characterize fuel properties, and monitor severe accident conditions. Under Task 1-Monitoring Real-Time Materials Degradation-scoping studies were conducted to assess the feasibility of potential inspection and monitoring technologies (i.e., a combination of sensors, advanced signal processing techniques, and data analysis methods) that could be utilized in LWR and/or advanced reactor applications for continuous monitoring of degradation in-situ. The goal was to identify those techniques that appear to be the most promising, i.e., those that are closest to being both technically and commercially viable and that the nuclear industry is most likely to pursue. Current limitations and associated issues that must be overcome before commercial application of certain techniques have also been addressed.

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“…Tang et al [2] proposed an application for monitoring and control of machine operations using vibration sensing in which a vibration analyzer continuously monitors and compares the actual vibration pattern against a known vibration signature, based on a fuzzy fusion technique. Similar systems have been proposed [3][4][5]. The frequency of vibration of monitoring data that is necessary in order to understand the transformation of a vibration will always be located in the front of an analyzer (Figure 1) as the analytical equipment is typically expensive and difficult to move.…”

Section: Introductionmentioning

confidence: 99%

Efficient Wireless Vibration Data Sensing and Signal Processing Technique Based on the Android Platform

Park

Baek

Hoe

et al. 2014

International Journal of Distributed Sensor Networks

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Recently, many researches on big-data sensing and analysis have been actively promoted. The big data, which is generated by the digital and networked environment, is referred to to form not only numerical data, but also large-scale data for storing image data and character. Usually, many data measured through sensors are very large in scale in various vibration measurements. Measurement methods for vibration analysis currently consist of a general sensing scheme using cabling to obtain vibration data. The system is difficult to use efficiently in a location where equipment installation is not easy. We proposed a novel vibration measurement system that includes a main hardware module and a wireless data transceiver module. The system is easy to use and field data are transmitted to a remote location using Bluetooth communication and the Android platform. Nonexpert personnel can obtain field vibration data for transport, even over long distances. Through experiments in field test, we verify that the stable remote sensing range reaches up to 150 m in real-time communication without any data loss.

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Wireless Sensing of Flow-Induced Vibrations for Pipeline Integrity Monitoring

Cited by 9 publications

References 2 publications

In-Situ Modal Response Characterization of Pipe Structures Through Reynolds Number Variation

In-Situ Modal Response Characterization of Pipe Structures Through Reynolds Number Variation

Task 1. Monitoring real time materials degradation. NRC extended In-situ and real-time Monitoring

Efficient Wireless Vibration Data Sensing and Signal Processing Technique Based on the Android Platform

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