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Updated: Jul 2, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

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基于自适应时间步骤无气味卡尔曼过 (ATS-UKF) 的观察者设计,用于柴油发动机的尿素选择性催化减排 (SCR) 性能

Wenlong Liu1, Ying Gao1, Yuelin You1

  • 1State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China; College of Automotive Engineering, Jilin University, Changchun 130025, China.

Journal of hazardous materials
|February 20, 2024
PubMed
概括

本研究介绍了一种自适应时间步骤无气味卡尔曼波器 (ATS-UKF),用于减少选择性催化降解 (SCR) 系统中的传感器. ATS-UKF准确估计了氨的覆盖面和排放量,改善了柴油发动机的环境性能.

关键词:
适应时间步骤无痕迹卡尔曼观察者观察者这是一个柴油发动机.模型预测 模型预测绩效监测 绩效监测 绩效监测 绩效监测 绩效监测 绩效监测 绩效监测选择性催化还原的选择性催化还原.

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