Wireless leak detection using airborne ultrasonics and a fast-Bayesian tree search algorithm with technology demonstration on the ISS

Clark, Casey; Labonte, Lonnie; Castro, Joel; Abedi, Ali; Caccese, Vincent

doi:10.1109/wisee.2015.7392983

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…Air leaks pose a significant concern for pressurized space structure integrity and astronaut safety [1]. Micrometeoroids and orbital debris (MMOD) with diameters ranging from 25 mm to 125 mm, and traveling at approximately 9-10 km/s in the Low Earth Orbit (LEO) frequently impact and damage the International Space Station (ISS) and other space-based structures [1,2]. Moreover, this is nowadays becoming a severe threat as the number of MMODs in the LEO increases due to accelerated space mission programs [3].…”

Section: Introductionmentioning

confidence: 99%

“…These solutions are thermal sensors that depend on the heat transfer principle [7][8][9][10][11], or they rely on frequency shifts caused by damping variation under different pressures [4][5][6]. However, most of the proposed solutions operate at high power and require heavy and oversized circuitry to be used (see Table II), not being able to comply with low power, light weight, and small footprint requirements for mobile applications [1,2].…”

Section: Introductionmentioning

confidence: 99%

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A Low-Cost, Nanowatt, Millimeter-Scale Memristive-Vacuum Sensor

et al. 2022

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This work demonstrates a low-power, light-weight, and cost-efficient vacuum pressure sensor and air leak detector based on 2 mm x 2 mm Cu/HfO2/p + -Si memristor device. The operating principle of the proposed sensor relies on monitoring the off-state resistance (Roff) of the device, wherein the experimental results show that the Roff value is inversely proportional to the vacuum pressure. The fabricated sensors demonstrated a sensitivity of 493 Torr -1 and power consumption as low as ~ 8 nW, when tested in a wide range of sub-atmospheric pressure (4.9x10 -5 -760) Torr, making them highly suitable for low-power applications. Furthermore, it is shown that the sensor can be integrated with a microcontroller-based circuitry to serve as a standalone sensing system.

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