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鑒於氧濃度傳感器、氧化锆傳感器本身的特性,處於(yú)壽命末期的傳感器在測(cè)量時,會出現精度誤差及漂移特性.爲減小傳感器漂移影響,基於(yú)多傳感器數據融合技術,選擇穩定性及一緻性較好的傳感器測量值作爲自動标定基準值,並在這一基礎上,改單點k值标定方法爲多點k值标定方法.驗證結果顯示:當電壓值漂移量達到0.1 V時,常規标定方法氧分壓漂移量将超過2 kPa,漂移量不超過0.5 kPa.因此,該标定方法增加瞭氧傳感器漂移的适應範圍,降低瞭測量誤差,減少瞭标定的頻次.
Considering the inherent characteristics of oxygen concentration sensors and zirconia sensors, particularly towards the end of their lifespan, these devices exhibit measurement inaccuracies and drift. To mitigate the impact of sensor drift, this study employs data fusion techniques, selecting stable and consistent sensor readings as a reference for automatic calibration. It then modifies the single-point k-value calibration method to a multi-point one. The validation results show that when the voltage drift reaches 0.1 V, the conventional calibration method leads to an oxygen partial pressure drift of over 2 kPa, while the proposed method limits it to below 0.5 kPa. Consequently, the new calibration approach expands the sensor's drift tolerance, reduces measurement errors, and decreases the calibration frequency.
中國(guó)航天員科研訓練(liàn)中心,北京 100094 ISSN:2096-8655
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