Abstract
Analysis of flow-induced pipe vibrations has been applied in a variety of applications, such as flowrate inference and leak detection. These applications are based on a functional relationship between the vibration features estimated in the pipe walls and the dynamics related to the flow of the substance. The dataset described in this document is comprised of signals acquired using an accelerometer attached to a pipe conveying cold water at specific flowrate values. Tests were carried out under numerals of the ISO 4064-1/2: 2016 standard and were performed in two measurement benches designed for flowmeter calibration, and a total of 80 flowrate values, from 25 L/h to 20,000 L/h, were considered. For each flowrate value, 3 to 6 samples were taken, so that the resulting dataset has a total of 382 signals that contain acceleration values in three axes and a timestamp in microseconds.
Highlights
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The vibrations produced in the walls of a pipe when a fluid circulates through it have been studied with a variety of aims, from the general analysis of systems dynamics [1] to more specific applications such as leak detection [2]
One of the specific applications of pipe vibration analysis that has shown potential for future developments is the design of non-intrusive flowrate soft sensors, capable of inferring the value of the flowrate using vibrational signals [3], and it has been addressed using either accelerometers [4,5,6], Laser Doppler Vibrometers (LDV) [7] or acoustic sensors [8,9]
Summary
The vibrations produced in the walls of a pipe when a fluid circulates through it have been studied with a variety of aims, from the general analysis of systems dynamics [1] to more specific applications such as leak detection [2]. One of the specific applications of pipe vibration analysis that has shown potential for future developments is the design of non-intrusive flowrate soft sensors, capable of inferring the value of the flowrate using vibrational signals [3], and it has been addressed using either accelerometers [4,5,6], Laser Doppler Vibrometers (LDV) [7] or acoustic sensors [8,9]. The dataset described in this paper is comprised of signals measured using a triaxial accelerometer attached to a pipe through which cold water circulates at fixed flowrates, with the aim of analyzing pipe vibrations. M16800C.txt M17200A.txt/M17200B.txt/ M17200C.txt/M17200D.txt/ M17200E.txt/M17200F.txt M17600A.txt/M17600B.txt/ M17600C.txt/M17600D.txt/ M17600E.txt/M17600F.txt M18000A.txt/M18000B.txt/ M18000C.txt/M18000D.txt/ M18000E.txt/M18000F.txt M18400A.txt/M18400B.txt/ M18400C.txt/M18400D.txt/ M18400E.txt/M18400F.txt M18800A.txt/M18800B.txt/ M18800C.txt/M18800D.txt/ M18800E.txt/M18800F.txt M19200A.txt/M19200B.txt/ M19200C.txt/M19200D.txt M19600A.txt/M19600B.txt/ M19600C.txt/M19600D.txt M20000A.txt/M20000B.txt/ M20000C.txt/M20000D.txt
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