Welcome to the
2026 Global Congress on Engineering and Technology (GC-Engin 2026). This event is intended to represent a major forum for researchers, professionals and students from all over the world to meet in the beautiful and culturally rich city of Irbid in Jordan to present their latest research results and to exchange new ideas and practical experiences.
Scope
GC-Engin 2026 main scope includes, but is not limited to the following areas: Workshop on Water Cycle and Neural Network Algorithms; Communications Engineering and Applications; Control Engineering and Technologies; Electronic Circuits and Technologies; Signal Processing and Applications; Fluid Mechanics and Heat Transfer; Materials, Design and Manufacturing; Aeronautical Engineering Technologies; Thermal Power Systems and Applications; Mechanical Systems Dynamics, Vibration and Control; Pavement Engineering and Applications; Construction Engineering and Applications; Transportation Engineering and Applications; Water Engineering Technologies; Medical Imaging and Signal Processing; Fuzzy Computing and Technologies; Software Engineering and Technologies; Edge Computing and Technologies; Genetic Algorithms and Genetic Programming; Quality, Reliability and Productivity; Intelligent Manufacturing;
GC-Engin 2026 is planned to feature special sessions, keynote talks and tutorial sessions by leading experts, paper presentations, poster shows, demo shows, discussion panels, as well as other interesting technical activities.
Jordan
Coming to Jordan represents a unique opportunity to witness the embrace of history and future. As small in area as it is, Jordan has a rich history spanning thousands of years, a history that a tourist can only admire. Places like Petra and the Dead Sea are only examples of the many one-of-a-kind places to visit in Jordan. On top of all that, Jordan, as a peaceful country in a turbulent area, enjoys extreme levels of safety and security. Jordanian people are internationally known for generosity, hospitality and cultural awareness and tolerance.
Enjoy attending GC-Engin 2026 at Seven Days Hotel, in Irbid, Jordan.
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Enjoy moderate registration fees, and register up to two papers for the same registration fee. Students receive substantial registration discounts.
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Have the possiblity to extend and publish your conference papers with some of the top journal publishers.
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Only full paper submissions are allowed at all our conferences. No summary or abstract submissions are allowed. Conference topic coverage includes the most current and exciting fields of knowledge and research.
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Papers can be accepted to our conferences only after rigorous peer reviewing.
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Our outstanding reviewing process is facilitated by careful selection of technical program committee members from among the best international experts. Each submitted paper is subject to no less than two peer reviews before it can be considered for acceptance.
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Published papers of GC-Engin 2026 are indexed by Google Scholar. More indexing is on the way.
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At each conference, and based on paper review scores, the paper with the highest scores receives the Best Paper Award. This is an award to which only presented papers are eligible. The best paper award is usually delivered to the presenter of the winning paper at the main conference dinner.
Are you preparing a paper to submit to GC-Engin 2026?
If so, please help the organizing committee make good predictions about the potential size of GC-Engin 2026 participation. To do so, please indicate your plan to submit a contribution by clicking here. This does not imply any commitment on your side. Kindly note that clicking the above link does not involve submission of any contribution.
Dimension Reduction and Classification for Fault Detection and Diagnosis
Summary
Fault detection, isolation and Diagnosis are now being integrated into practical control systems to improve the safety and reliability of these systems. Fault detection and isolation (FDI) using analytical redundancy methods and also called model based techniques are currently the subject of extensive research and numerous surveys can be found. The analytical methods compare real process data to those obtained by mathematical models of the system. The aim of analytical redundancy is to generate information about faults which have occurred in target systems using actual measurements. Analytical redundancy is referred to as a model-based method, which is low-cost compared to hardware redundancy in some safety critical applications, provided that a model can precisely simulate the behavior of a real system. The most common popular analytical redundancy techniques are parameter estimation, parity relation and observer-based approaches. A model based fault detection techniques consists of two main stages: residual generation and residual evaluation. In most practical cases, the process parameters are not known at all, or they are not known exactly enough. Then, they can be determined by means of parameter estimation methods, measuring input and output signals, if the basic structure of the model is known . This approach is based on the assumption that the faults are reflected in the physical system parameters and the basic idea is that the parameters of the actual process are estimated on-line using well-known parameter estimations methods. The results are thus compared with the parameters of the reference model, obtained initially under fault free assumptions. Any discrepancy can indicate that a fault may have occurred. However, the presence of modeling uncertainties, disturbances, and noise is inevitable. Although all these techniques are well designed for the fault detection, one of the most relevant techniques for the diagnosis is the supervised classification. It is
Nasar Aldian Ambark Shashoa achieved his PhD in control systems at School of Electrical Engineering, University of Belgrade, Serbia, June 2013. In July 2013, he joined the electrical and electronic engineering department, Faculty of Engineering, Azzaytuna University, Tarhona, Libya. In September 2019, he joined the Libyan academy for postgraduate studies as Associate Professor. His research interests are control engineering, system identification, fault detection and isolation, and pattern recognition. Original results have been published more than forty papers in international journals and international conferences. He is an international program committee member, steering committee member and scientific committee member in several international conferences at different countries. He is IEEE Libya Subsection Chair, and Vice President ISKO-Maghreb (Libya branch). In addition, he is an IEEE member, IEEE Control Systems Society Member, IEEE Signal Processing Society Member and IEEE Industrial Electronics Society.
