A review of component-in-the-loop: Cyber-physical experiments for rapid system development and integration
To meet rising demands in performance and emissions compliance, companies are driven
to develop systems of ever-increasing complexity. In-the-loop methods use a hybrid …
to develop systems of ever-increasing complexity. In-the-loop methods use a hybrid …
Predicting indoor particle concentration in mechanically ventilated classrooms using neural networks: Model development and generalization ability analysis
J Ren, J He, A Novoselac - Building and Environment, 2023 - Elsevier
This study presents a comprehensive analysis of the model development (structure,
parameter settings, and prediction accuracy) and generalization ability of neural networks in …
parameter settings, and prediction accuracy) and generalization ability of neural networks in …
Data Acquiring System for Gas Turbine Engine's Dynamic Performance; Build and Validate
MM Samy, MA Metwally, M Ashry… - Measurement …, 2024 - Taylor & Francis
ABSTRACT Gas Turbine Engines (GTE) have the highest power-to-weight ratio among
Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel …
Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel …
基于GFRFs 的非线性系统结构故障检测方法.
史洪岩， 杨文奎， 潘多涛 - Journal of Dalian Polytechnic …, 2023 - search.ebscohost.com
为了能够更加准确高效地检测非线性系统的结构是否发生故障, 提出了基于系统带外部输入的非
线性自回归(NARX) 模型的广义频率响应函数(GFRFs) 故障检测方法. 根据受检系统的NARX …
线性自回归(NARX) 模型的广义频率响应函数(GFRFs) 故障检测方法. 根据受检系统的NARX …