| 000 | 03415nlm2a2200385 4500 | ||
|---|---|---|---|
| 001 | 661725 | ||
| 005 | 20231030041757.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\32556 | ||
| 090 | _a661725 | ||
| 100 | _a20200210a2019 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 105 | _ay z 100zy | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aConcept and implementation of the laboratory test bench for simulating the case of leak detection with the use of leak-noise correlator _fA. V. Tsavnin, V. A. Faerman |
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| 203 |
_aText _celectronic |
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| 300 | _aTitle screen | ||
| 320 | _a[References: 10 tit.] | ||
| 330 | _aConcept of laboratory rig for pipe leaks detections task solution via acoustic control is proposed. Hardware and software implementation stages are described. The laboratory bench consists of two subsystems. The first subsystem provides audio signal real-time playback to simulate the propagated leak noise at two terminal points of pipe line segment. The second subsystem is leak-noise correlator itself. Using piezoelectric accelerometers as sensors it receives acoustic signal and then performs analog-to-digital conversion with further software digital processing. Regarding the hardware implementation, PC is utilized for software signal generation, in particular, Simulink model is used. Raspberry Pi-based device is used for digital signal processing. Since leak location problem can be solved with different digital processing algorithms such as correlation or specter analysis, the presented laboratory rig can be applied for academic purposes. For instance, it can be implemented within courses such as “Digital Signal Processing” and “Applied Math”. In addition, the presented solution is also applicable for scientific research associated with delay time estimation. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 | 0 |
_0(RuTPU)RU\TPU\network\4816 _tAIP Conference Proceedings |
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| 463 |
_tVol. 2195 : Modeling in Education - 2019 _oInternational Scientific and Practical Conference, June 19-21, 2019, Moscow, Russia _fBauman Moscow State Technical University ; eds. Yu. B. Tsvetkov, I. K. Romanova _v[020006, 8 p.] _d2019 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _aутечки | |
| 610 | 1 | _aакустический контроль | |
| 610 | 1 | _aцифровая обработка | |
| 610 | 1 | _aмоделирование | |
| 700 | 1 |
_aTsavnin _bA. V. _cSpecialist in the field of automatic control _cAssistant of the Department of Tomsk Polytechnic University _f1993- _gAlexey Vladimirovich _2stltpush _3(RuTPU)RU\TPU\pers\45865 |
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| 701 | 1 |
_aFaerman _bV. A. _cspecialist in the field of informatics and computer technology _cEngineer of Tomsk Polytechnic University _f1990- _gVladimir Andreevich _2stltpush _3(RuTPU)RU\TPU\pers\32970 |
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| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа информационных технологий и робототехники _bОтделение автоматизации и робототехники _h7952 _2stltpush _3(RuTPU)RU\TPU\col\23553 |
| 801 | 2 |
_aRU _b63413507 _c20200210 _gRCR |
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| 856 | 4 | _uhttps://doi.org/10.1063/1.5140106 | |
| 942 | _cCF | ||