https://hdl.handle.net/20.500.12619/64670 2026-04-16T14:56:37Z https://hdl.handle.net/20.500.12619/64996 Determination of Women Iron Deficiency Anemia Using Neural Networks Pamuk, Ziynet; Bozkurt, Mehmet Recep Iron deficiency anemia (IDA) is a common type of anemia which most often occurs in young adult women. Detection of Iron deficiency requires blood tests and doctors' decision. Doing so can be costly and difficult especially in undeveloped countries. In this study, we developed an application by using Feedforward Networks (FFN), Cascade Forward Networks (CFN), Distributed Delay Networks (DDN), Time Delay Networks (TDN), Probabilistic Neural Network (PNN), and Learning Vector Quantization (LVQ) networks that can diagnose iron deficiency anemia in women. 2012-01-01T00:00:00Z https://hdl.handle.net/20.500.12619/64995 The Fault Diagnosis for Power System Using Fuzzy Petri Nets Uyaroğlu, Yılmaz A rapid and correct fault diagnosis is crucial for power system network. As the complexity of power system increases, fault diagnosis becomes very difficult task in the limited short time. This situation has made it necessary to develop intelligent systems to support operators in their decision making process. The paper mainly investigates fault diagnosis of power system by using Fuzzy Petri Nets (FPN) technology. FPN is used for accurately fault diagnosis in power system when some incomplete and uncertain alarm information of protective relays. It is shown from several cases that the faulted system elements can be diagnosed correctly by use of these models. By suggested method, it is possible to decline diagnosis time according to traditional methods. Finally, the suggested method can easily be adapted to different power system network. It is practicable an impressive for fault diagnosis in power system. 2012-01-01T00:00:00Z https://hdl.handle.net/20.500.12619/64994 Analysis of cascading failure scenarios in Turkey interconnected energy system Uyaroğlu, Yılmaz This paper deals with scenario of cascade failure in a large interconnected grid of Turkey. A single fault seldom leads to the catastrophe like blackout in energy system, but often causes other faults, which result in cascading failures and blackouts. Blackouts are occurred prevalently in huge energy system. Initiator events of these catastrophic failures can be prevented by convenient protection settings. In this study, different cascading failure scenarios are evaluated under credible contingency conditions. The scenarios have been analyzed on the Northwest Anatolia energy system with 118 buses where is the most critical part of Turkey Electricity System. The situation of energy plants and transmission lines in this energy system are analyzed for disability aspects. All energy system components are simulated by means of a power flow analysis performed with the PSS/E software. The power flow map is drawn from simulated data. The results allow us to be better prepared to face these severe disturbances, defining procedures for emergency situation and training the control room operators. 2012-01-01T00:00:00Z https://hdl.handle.net/20.500.12619/64992 Observer-based model following discrete sliding mode PSS for single machine system Özdemir, Ayhan; Yazıcı, İrfan Power system stabilisers (PSSs) are added to excitation systems of a synchronous generator as a supplementary controller to improve the dynamic stability of a power system by damping the electromechanical oscillations occured in the system. Over the last four decades various approaches, such as phase lead-lag, Proportional-Integral-Derivative (PID), linear quadratic regulator, H8, sliding mode controller (SMC) and etc., have been reported in the literature for the PSS design. The SMC has some advantages, such as parameter insensitivity and realisation simplicity, over the other approaches. To the best of our knowledge, observer-based model following discrete SMC (OMFDSMC) method has not been used in the PSS design. Therefore, this paper is the first study that used OMFDSMC method in the PSS design in the literature. Simulation results show the effectiveness and robustness of the proposed OMFDSMC-based PSS under normal load operations, operating point and parameters variation conditions. Copyright (C) 2011 John Wiley & Sons, Ltd. 2012-01-01T00:00:00Z