Browsing by Author "Boukhemis, Chetate"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item Measurement and monitoring system with real time data logging based on microcontroller(Ireneusz Jablonski (Wroclaw University of Technology, Poland) and Md. Zia-Ur- Rahman (K L University, India), 2018) Mohrem, Abdelkrim; Boukhemis, Chetate; Guia, Houssem EddineThis article presents a microcontroller-based system for measurement and monitoring voltage of a three-phase electrical system with real-time data logging abilities. The proposed system uses voltage signals and time data as input. The output is an LCD and data files. The system accurately records abnormal voltage variations which have occurred on the system. A PC software is developed to receive and save data in two spreadsheet files through a serial port. Ihe log file contains the measured voltage, which is recorded periodically with a predefined time interval, and the second file contains the type of the fault. The proposed system is first simulated by ISIS-Proteus and then realized and implemented on an electronic board. It is beneficial to make detailed, scientific judgments and analysis for the voltage system to be supplied to a load. Because of the very simple circuit, it finds applications in industrial facilities. It is also useful in applying final circuits for both investigation and monitoring purposes.Item Neural network ARX model for gas conditioning tower(Taylor and Francis Online, 2019) Haddouche, Rezki; Boukhemis, Chetate; Mohand Said, BoumedineThis work focuses on the identification of the gas conditioning tower (GCT) operating in a cement plant. It is an important element in the cement production line. Mathematical modeling of such a process proves to be very complex. This is due to the phenomena that occur during the operation of the system. An artificial neural network-based auto-regressive with exogenous inputs (NNARX) model is constructed with the aim to study the system as well as used to control the process. Resulted models are tested and validated using data extracted on a GCT operating at Chlef cement plant in Algeria.
