The doctor study programme is devoted to the preparation of the high quality scientific and research specialists in various branches of electrical engineering, namely in theory of electromagnetism, electrical circuits, general methods of signal processing and electrical measurements.
The aim is to provide the doctor education in all these particular branches to students educated in university magister study, make deeper their theoretical knowledge, to give them also some practical knowledge for their individual scientific work.

The doctors are able to solve scientific and complex engineering tasks from the area of electrical engineering and electromagnetism.
Wide fundamentals and deep theoretical basis of the study program bring high adaptability and high qualification of doctors for the most of requirements of their future creative practice in all areas of electrical engineering.
The doctors are competent to work as scientists and researchers in many areas of basic research or research and development, as high-specialists in the development, design, construction, and application areas in many institutions, companies, and organisations of the electrical and electronic research, development, and industry as in the areas of electrical services and systems, inclusively in the special institutions of the state administration. In all of these branches they are able to work also as the leading scientific-, research-, development- or technical-managers.

Students who finish this study area are able to deal with scientific and complex engineering tasks from the sphere of general electrical engineering and electromagnetism.
The PhD graduates are, owing to the developed high-quality theoretical education and specialization in the chosen field of study, sought as specialists in the area of general electrical engineering.
In the sphere of general electrical engineering and electromagnetism, the PhD graduates will be competent to work as scientific and research workers in basic and applied research, as specialized development, construction and operation experts in various research and development institutions, electrotechnical and electronic production companies and corporations and with producers and users of electrical systems and devices, where they will be able to make use of modern computer and measurement techniques in a creative way.

doc. Ing. Petr Drexler, Ph.D.

2. round (applications submitted from 01.07.2018 to 31.07.2018)

1. Advanced methods of signal analysis for localization of partial discharges

   The key issue of high-power power-plant transformers is the existence of partial discharge (PD) activity in their dielectric oil filling. Radiofrequency detection methods may provide new possibilities in PD activity detection, observation and localization. Their recent development is enabled by the availability of advanced instrumentation, which allows signal acquisition with GHz bandwidth. Simultaneously, the availability of high-performance computing platforms enables the processing and evaluation of the digital signals with sample rate in the GSa/s regime and the localization of the signal source in the real time. It is necessary to utilize advanced concepts of UHF signal processing for successful radiofrequency detection and localization methods application. The goal is to detect the PD signal occurrence and determine its time relations, which are essential for following space localization of the PD source. The conducted research will deepen the knowledge in the problematic of PD signal evaluation and the PD source localization, which will lead to increasing the reliability and safety of the high-power power plant transformers.

   Tutor: Drexler Petr, doc. Ing., Ph.D.

2. Agricultural drone technology

   This multidisciplinary dissertation thesis focuses on the use of unmanned aerial vehicles for precision agriculture. The aim of the thesis is to propose a system for increasing the economic and ecological benefits of precision farming. The thesis assumes the testing and implementation of algorithms for image processing to Unmanned aerial vehicles.

   Tutor: Marcoň Petr, doc. Ing., Ph.D.

3. Application of electromagnetic noise field for analysis of materials and structures

   Measuring and diagnostic methods based on the interaction of radiated electromagnetic (EM) field with test objects are currently mature and widely used technology. However, the vast majority of systems based on such approach use the concept of generating and evaluating EM fields with certain defined or swept frequency. In this case, it is necessary to take into account the possibility of reactive coupling of the measured object and the measuring device in the near field, which can deteriorate the measurement. Conversely, if broadband stochastic signals (noise signals) were used for diagnostics, these problematic coupling could be suppressed. The topic of the study is focused on the research of the use of the concept of diagnostic of materials and electromagnetic structures by the noise field, especially in radiofrequency and microwave domain, its development and experimental verification.

   Tutor: Drexler Petr, doc. Ing., Ph.D.

4. Application of highly birefringent optical fibers for sensing of physical quantities

   Novel types of optical fibers allow applications of fiber-optic sensors in areas, where classical sensors are difficult to use. The example is a sensing of electric current or magnetic field, who can achieve extreme magnitudes or sensing under strong disturbing influences. It is possible to use special types of optical fiber with strong latent birefringence for the suppression of the disturbing influences. The potentially allow for design and development of robust sensor with minimized sensitivity to outer influences. The thesis will be focused on the research and development of sensing techniques utilizing highly birefringent fibers.

   Tutor: Drexler Petr, doc. Ing., Ph.D.

5. Autonomous drones

   The dissertation thesis is focused on testing and development of algorithms to increase the degree of autonomy drones. To do this, you need to use a variety of different sensors in combination with drone control unit. The thesis is intended to focus on algorithms using deep learning methods and other sophisticated method.

   Tutor: Marcoň Petr, doc. Ing., Ph.D.

6. Methods of testing the compatibility of implantable devices with MR diagnostic systems

   Magnetic resonance (MR) imaging systems play an important role in current medical diagnostic technology. However, in the widespread use of MR systems, there may be confrontation with other diagnostic and therapeutic devices such as endoscopes, ultrasound probes, implanted or extracorporeal neurostimulation devices, and others. If a device with conductive parts is implanted in the tissue, interaction with the EM field may adversely affect surrounding tissues. Safe employment of implantable devices requires research to test their coexistence with MR systems. The aim of the work will be research and development of methods and technical resources for testing and evaluating the influence of radio frequency fields on implantable devices.

   Tutor: Drexler Petr, doc. Ing., Ph.D.

7. Microgrid s vodíkovým úložištěm

   The Efficient energy generation and consumption is a key factor to achieve ambitious goals related to air pollution and climate change. Modern electricity networks can include different kind of sources, such as renewable energy sources. Then, hybrid systems are obtained by combining several sources and storage types in the new concept called microgrid. In order to draw the best performance from these hybrid systems, a proper design and operation is essential. This work focuses on designing algorithms and testing scenarios to increase efficiency and use of micro-grid.

   Tutor: Marcoň Petr, doc. Ing., Ph.D.

8. Moving object detection

   The thesis is focused on testing and development of detection algorithms of moving objects. These algorithms should be able to detect and classify the types of objects that might arise in areas with higher levels of security, such as airports, nuclear power plants and ammunition depots. On the basis of the detected undesirable type of flying object will suggest possible disposal of a flying object.

   Tutor: Marcoň Petr, doc. Ing., Ph.D.

1. round (applications submitted from 01.04.2018 to 15.05.2018)

1. Methods for partial discharge UHF signal detection and identification

   One of the key problems of high-power high-voltage transformers is the existence of partial discharges PD in their dielectric oil filling. Radiofrequency methods may provide an efficient tool for observing the PD activity. The possibility of PD-radiated UHF electromagnetic (EM) signal detection is crucial for successful methods application. This signal has a relatively low magnitude and its occurrence is accompanied by a strong impulse-like interference from other discharge processes. On the other side, the PD signal dispose with specific time and frequency properties, which can be utilized for its reliable detection and evaluation. The theme of the Ph.D. study is focused on the research of new approach to PD-radiated EM signals detection utilizing signal’s specific time and frequency properties. The goal is to deepen the knowledge in the problematic of reliable detection and identification of PD activity and increasing the reliability of the high-power high-voltage transformers.

   Tutor: Drexler Petr, doc. Ing., Ph.D.