تصفح حسب الموضوع "Data-driven approach"
السجلات المعروضة 1 -- 8 من 8
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Actuator Fault Diagnosis in Multi-Zone HVAC Systems using 2D Convolutional Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)This paper presents a novel supervised on-line fault diagnosis strategy in Heating, Ventilation, and Air conditioning (HVAC) systems for actuator faults using 2D Convolutional Neural Networks. It is based on an efficient ... -
Application of genetic algorithm in selection of dominant input variables in sensor fault diagnosis of nonlinear systems
( 2013 IEEE International Conference on Prognostics and Health Management, PHM 2013 , 2013 , Conference Paper)Industrial processes rely heavily on information provided by sensors. Reliability of sensor data is vital to assure an acceptable performance of these complex and nonlinear processes. In this paper, the analytical redundancy ... -
Multiple sensor fault diagnosis by evolving data-driven approach
( Elsevier Inc. , 2014 , Article)Sensors are indispensable components of modern plants and processes and their reliability is vital to ensure reliable and safe operation of complex systems. In this paper, the problem of design and development of a data-driven ... -
Multiple sensor fault diagnosis for non-linear and dynamic system by evolving approach
( 2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012 , 2012 , Conference Paper)Reliability of sensor measurement is vital to assure the performance of complex and nonlinear industrial operation. In this paper, the problem of designing and development of a data-driven multiple sensor fault detection ... -
Novel Actuator Fault Diagnosis Framework for Multizone HVAC Systems Using 2-D Convolutional Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Heating, ventilation, and air conditioning (HVAC) systems are used to condition the indoor environment in buildings. They can be subjected to malfunctioning since they are the most extensively operated buildings' components ... -
Predicting carbonate formation permeability using machine learning
( Elsevier B.V. , 2020 , Article)It is imperative to characterize the formation permeability to simulate the flow behavior at subsurface conditions. An accurate characterization at the core scale is possible when large samples are available, but often ... -
Secrecy Outage Performance of Ground-to-Air Communications with Multiple Aerial Eavesdroppers and Its Deep Learning Evaluation
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)In this letter, we study the secure information transmission from a ground base station (GBS) to a legitimate unmanned aerial vehicle (UAV) user, in the presence of multiple UAV eavesdroppers. To enhance the secrecy ... -
Sensor data validation and fault diagnosis using Auto-Associative Neural Network for HVAC systems
( Elsevier Ltd , 2020 , Article)The Heating, Ventilation, and Air conditioning (HVAC) system is a major system in buildings for conditioning the indoor environment. Sensor data validation and fault diagnosis for HVAC systems are essentially important to ...