Publications by authors named "Qiongyuan Wang"

Article Synopsis
  • Semiconductor gas sensors show high linearity and stable baselines when tested with alternating current (AC) impedance measurements, but there's no established method to find the best parameters for these tests.
  • A model was developed to optimize AC impedance measurements for detecting SF decomposition gas, using four types of sensors to analyze three gases (HS, SO, CO).
  • The method proves effective by allowing quick correction of temperature variations between 10 to 30 °C, offering a new strategy to reduce drift issues in semiconductor gas sensors.
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An air-insulated power equipment adopts air as the insulating medium and is widely implemented in power systems. When discharge faults occur, the air produces decomposition products represented by NO. The efficient NO sensor enables the identification of electrical equipment faults.

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Semiconductor materials with wide bandgaps are extensively employed for gas detection due to their advantages of low cost, high sensitivity, fast speed, excellent stability, and distinctive selectivity. Previous studies have reported on different kinds of semiconductor materials and their complex synthesis procedures. However, the research progress on gas-sensitive mechanisms seriously lags behind the performance improvement.

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A difficult issue restricting the development of gas sensors is multicomponent recognition. Herein, a gas-sensing (GS) microchip loaded with three gas-sensitive materials was fabricated via a micromachining technique. Then, a portable gas detection system was built to collect the signals of the chip under various decomposition products of sulfur hexafluoride (SF).

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