Performance of Photovoltaic (PV) Systems
The performance of the system, which mainly concerns the energy output, both in quantity and in timing, depends on the operating conditions and the detailed configuration of the system. In turn, the operating conditions depend on the location of the system, which governs the solar irradiation received, the ambient temperature and other climate-related aspects that influence the system performance. How the system performs determines its technical and economic feasibility. This lecture focusses on how to measure and assess the performance of the components of the PV systems and on how to define and address the performance of the PV system in the field. PV systems performance deals with the performance of the PV module, which performs the actual conversion process including measurement of the module rating, prediction of energy yield and changes to module performance in operation. Performance of the PV system includes the balance of system components, prediction and monitoring of PV system output and the environmental assessment of the systems. Finally, PV performance considers individual system types, including grid-connected and stand-alone system configurations, concentrator systems and specific performance aspects relating to building integration.
Electrical Energy Storage and its Advanced Role in Power Electrical System and Micro-Grids
Application of deep learning in Arabic
speech processing and recognition
The presentation will give an overview of the recent advances in the applications of deep learning in language processing in general and speech recognition in particular. The talk will then provide a short review on the challenges facing Arabic Language and the recent research in Arabic language and Arabic speech. Finally we present our research activities along several Arabic language applications including, transcription of Arabic news, speech recognition of
Arabic dialects, Arabic language modeling using RNN, Arabic phoneme recognition, speech segmentation, automatic restoration of diacritical marks of Arabic text, Quran recitation, on-line Quran annotation, recognition of poem meters, and provide an overview of Arabic conversational agent.
Incipient Fault Detection and Diagnosis
Fault detection and diagnosis has been an emerging topic for more than 30 years in all the engineering sectors. Because of the increasing requirements for more safety, reliability and cost effective industrial processes, a lot of methods have emerged for the monitoring of more and more complex systems. However most of fault indicators are devoted to detect significant abrupt deviations related to specific features but they fail to detect and estimate slight distortions caused by gradually evolving faults. At their earliest stage, they are called incipient faults and are defined through a Fault-to-Noise Ratio (FNR). In the region where the fault is concealed in the noise and causes small changes in the process measurements. It is therefore important to design a methodology from knowledge building to fault detection and diagnosis performances assessment that can fulfil the more and more demanding requirements.
Outdoor mobile robotics: from design to motion control and planning
With the present environmental challenges, agriculture and construction are two major economic branches for the future of robotics. In order to address the environment conditions in these kind of applications, robots must be fast and agile enough to explore and operate quickly in a large space, guarantee their integrity and that of the environment, and self-adapt to highly variable soil conditions and irregular surfaces with obstacles. In this presentation we will discuss aspects related to the design and control of agile robots with a high number of degrees of freedom capable of safely crossing any obstacles, without a priori knowledge of their shape and precise position. In a second part, we will address issues related to fast rover navigation and particularly their control based on a predictive based approach in the presence of slippages, rollover risks, and collision constraints, as well as the online estimation of the physical and geometric parameters of the local ground surface, required for the model based controller.
The Planck Balance – calibration of E2 mass standards using the new definition
The Planck Balance (PB) is an electronic mass comparator, which allows the calibration of weights in a continuous range from 1 mg to 100 g using a fixed value of the Planck constant, h. It uses the physical approach of Kibble balances that allow the Planck constant to be derived from the mass.
Using the Planck-Balance no calibrated mass standards are required during the calibration of mass standards any longer, because all measurements are traceable via the electrical quantities to the Planck constant h, and to the meter and the second. This allows a new type of balance after the redefinition of
the SI-units on 20th of May 2019. In contrast to many scientific oriented developments of Kibble balances, the Planck Balance is focused on robust and daily use. The Planck Balance will allow relative measurement uncertainties comparable to the accuracies of class E2 mass standards, as specified in OIML Recommendation R 111-1. The Planck Balance is developed in a cooperation of the Physikalisch-Technische Bundesanstalt (PTB) and the Technische Universität Ilmenau in a project funded by the German Federal Ministry of Education and Research.
Standardization in Wireless Communication