Elman's recurrent neural network applications to condition monitoring in nuclear power plant and rotating machinery S Şeker, E Ayaz, E Türkcan Engineering applications of artificial intelligence 16 (7-8), 647-656, 2003 | 160 | 2003 |
Feature extraction related to bearing damage in electric motors by wavelet analysis S Seker, E Ayaz Journal of the Franklin Institute 340 (2), 125-134, 2003 | 144 | 2003 |
Fault section estimation in electrical power systems using artificial neural network approach ZE Aygen, S Seker, M Bagnyanik, FG Bagnyanik, E Ayaz 1999 IEEE Transmission and Distribution Conference (Cat. No. 99CH36333) 2 …, 1999 | 68 | 1999 |
Continuous wavelet transform for ferroresonance phenomena in electric power systems TC Akinci, N Ekren, S Seker, S Yildirim International Journal of Electrical Power & Energy Systems 44 (1), 403-409, 2013 | 54 | 2013 |
A study of condition monitoring for induction motors under accelerated aging process S Seker, E Ayaz IEEE Power Engineering Review 22 (7), 35-36, 2002 | 53 | 2002 |
Determination of air-gap eccentricity in electric motors using coherence analysis S Seker IEEE Power Engineering Review 20 (7), 48-50, 2000 | 49 | 2000 |
Fault detection based on continuous wavelet transform and sensor fusion in electric motors E Ayaz, A Öztürk, S Şeker, BR Upadhyaya COMPEL-The international journal for computation and mathematics in …, 2009 | 44 | 2009 |
Continuous wavelet transform for bearing damage detection in electric motors E Ayaz, A Ozturk, S Seker MELECON 2006-2006 IEEE Mediterranean Electrotechnical Conference, 1130-1133, 2006 | 44 | 2006 |
Measurement of power line sagging using sensor data of a power line inspection robot AT Zengin, G Erdemir, TC Akinci, S Seker Ieee Access 8, 99198-99204, 2020 | 36 | 2020 |
Spectral and statistical analysis for ferroresonance phenomenon in electric power systems S Seker, TC Akinci, S Taskin Electrical Engineering 94, 117-124, 2012 | 36 | 2012 |
Separation of magnetic fields in geophysical studies using a 2-D multi-resolution Wavelet analysis approach ON Ucan, S Seker, AM Albora, A Ozmen Balkan Geophys. Soc 3 (3), 53-58, 2000 | 34 | 2000 |
A reliability model for induction motor ball bearing degradation S ŞEKER Electric Power Components and Systems 31 (7), 639-652, 2003 | 33 | 2003 |
Wavelet based Neuro-Detector for low frequencies of vibration signals in electric motors D Bayram, S Şeker Applied Soft Computing 13 (5), 2683-2691, 2013 | 31 | 2013 |
Redundancy-based predictive fault detection on electric motors by stationary wavelet transform D Bayram, S Şeker Ieee transactions on industry applications 53 (3), 2997-3004, 2016 | 30 | 2016 |
On-line neuro-expert monitoring system for borssele nuclear power plant K Nabeshima, T Suzudo, S Seker, E Ayaz, B Barutcu, E Türkcan, T Ohno, ... Progress in Nuclear Energy 43 (1-4), 397-404, 2003 | 30 | 2003 |
An improved empirical mode decomposition method using variable window median filter for early fault detection in electric motors E Karatoprak, S Seker Mathematical Problems in Engineering 2019, 2019 | 27 | 2019 |
Comparisons between the various types of neural networks with the data of wide range operational conditions of the Borssele NPP E Ayaz, S Şeker, B Barutcu, E Türkcan Progress in Nuclear Energy 43 (1-4), 381-387, 2003 | 27 | 2003 |
Analysis of motor current and vibration signals for detecting bearing damage in electric motors S Şeker, E Ayaz, BR Upadhyaya, AS Erbay MARCON 2000 Maintenance and Reliability Conference, Knoxville, 2000 | 24 | 2000 |
A steady state quantum classifier D Türkpençe, TÇ Akıncı, S Şeker Physics Letters A 383 (13), 1410-1418, 2019 | 23 | 2019 |
A neural network based approach to estimate of power system harmonics for an induction furnace under the different load conditions H Gokozan, S Taskin, S Seker, H Ekiz Electrical Engineering 97, 111-117, 2015 | 23 | 2015 |