Detection, identification and correction of gross measurement errors in power system state estimation

Download
1989
Türmen, Ahmet

Suggestions

Detection of clean samples in noisy labelled datasets via analysis of artificially corrupted samples
Yıldırım, Botan; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2022-8-22)
Recent advances in supervised deep learning methods have shown great successes in image classification but these methods are known to owe their success to massive amount of data with reliable labels. However, constructing large-scale datasets inevitably results with varying levels of label noise which degrades performance of the supervised deep learning based classifiers. In this thesis, we make an analysis of sample selection based label noise robust approaches by providing extensive experimental evaluatio...
Detection and tracking of dim signals for underwater applications
Ermeydan, Esra Şengün; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2010)
Detection and tracking of signals used in sonar applications in noisy environment is the focus of this thesis. We have concentrated on the low Signal-to-Noise Ratio (SNR) case where the conventional detection methods are not applicable. Furthermore, it is assumed that the duty cycle is relatively low. In the problem that is of concern the carrier frequency, pulse repetition interval (PRI) and the existence of the signal are not known. The unknown character of PRI makes the problem challenging since it means...
Detection performance of likelihood ratio test for change points based on bootstrap for AR 1 models
Yazıcı, Ceyda; Yozgatlıgil, Ceylan; Batmaz, İnci (null; 2016-08-26)
he detection of change-points in time series is an important issue especially in economics, finance, meteorology and energy. Change in mean, change in variance or any sudden increase or decrease in the series can cause breakpoints. In AR(1) models, the likelihood ratio test is conducted to test for a single breakpoint. However, if the sample size is small or the location of the breakpoint is close to the end or the beginning of the series, the detection performance becomes worse. In order to increase the co...
Detection and description of traffic events using floating car and social media data
Ünsal, Ahmet Dündar; Tüydeş Yaman, Hediye; Karagöz, Pınar; Department of Geodetic and Geographical Information Technologies (2022-9-12)
Detection and verification of traffic events, in traffic management, can be performed traditionally using roadside sensor data. More recently wide coverage travel time information obtained from floating car data (FCD) is also used, despite its limitations to describe the event characteristics and requires verification. Social media, widely adopted in our daily lives, hosts a sheer amount of data which can be analyzed to identify incidents and events using information retrieval methods. In this study, a fra...
Detection of some parameters of induction motors a proposal and its verification
Özlü Ertan, Hatice Gülçin; Colak, Baris (2007-11-30)
This paper describes a novel approach for offline stator leakage inductance estimation method that can be used for self-tuning of induction motor drives. The paper briefly describes the theory behind the approach. The proposed method is based on applying a DC voltage to the motor windings and measuring the DC current that flows in the circuit over a short interval of time. The measured variables are DC quantities and relatively noise free as compared to some other available methods. The proposed approach is...
Citation Formats
A. Türmen, “Detection, identification and correction of gross measurement errors in power system state estimation,” Middle East Technical University, 1989.