Author

Merve Ertarğın

Observed names: ERTARĞIN, MERVE, Ertarğın, Merve, MERVE ERTARĞIN, Merve ERTARĞIN, Merve Ertargin

Institution: Munzur University

Observed institution: Munzur University

ORCID: 0000-0003-4493-7260

Observed ORCID: 0000-0003-4493-7260

OpenAlex ID: A5092472145

Mechanical and electrical faults detection in induction motor across multiple sensors with CNN-LSTM deep learning model

2024 · Merve Ertargin, Ozal Yildirim, et al. · Electrical Engineering · 47

A Comparative Study of Time–Frequency Representations for Bearing and Rotating Fault Diagnosis Using Vision Transformer

2025 · Ahmet Orhan, Nikolay Yordanov, et al. · Machines · 35

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Automated fault classification of asynchronous motor using mobile phone accelerometer and Parallel Residual CNN-GRU

2025 · Merve Ertargin, Ahmet Orhan, et al. · Measurement · 17

A Deep Learning Approach for Motor Fault Detection using Mobile Accelerometer Data

2023 · Merve ERTARĞIN, Turan GÜRGENÇ, et al. · European Journal of Technic · 7

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Species classification of microalgae using a CNN-based deep learning approach under optimal cultivation conditions

2025 · Gokce Kendirlioglu Simsek, Merve Ertargin, et al. · Biochemical Engineering Journal · 6

Classifying Induction Motor Faults Using Spectrogram Images with Deep Transfer Learning

2024 · Merve Ertargin, Ozal Yildirim, et al. · Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science · 5

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Motor Yataklarında Meydana Gelen Arızaları Tespit Etmek için Yeni Bir Tek Boyutlu Konvolüsyonel Sinir Ağı Modeli

2023 · Merve ERTARĞIN, Özal YILDIRIM, et al. · Fırat Üniversitesi Mühendislik Bilimleri Dergisi · 3

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A smartphone-based vibration dataset for induction motor fault diagnosis under different speed and load conditions

2026 · Merve Ertarğın, Ahmet Orhan, et al. · Data in Brief · 2

Predicting Daily Energy Consumption in Ev Charging Stations Using Tree-based Models

2025 · Merve Ertarğın · Middle East Journal of Science · 1

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Health Status Classification of Electric Motors Using CNN-Based Models and SDP Images Under Varying Noise Conditions

2025 · Merve Ertarğın, Nikolay Yordanov, et al. · Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science · 1

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A Unified and Interpretable Benchmark of Classification Models for DGA-Based Power Transformer Fault Diagnosis

2026 · Kıvanç Doğan, Merve Ertarğın, et al. · Applied Sciences

A Smartphone-Based Acoustic Dataset for Permanent Magnet Debonding Diagnosis in Brushed DC Motor

2026 · Zhilevski, Marin, Yordanov, Nikolay, et al. · Mendeley Data

Multi-Sensor Condition-Monitoring Dataset of a Brushed DC Servo Motor

2026 · Zhilevski, Marin, Slavov, Danail, et al. · Mendeley Data

A Metric-Driven Evaluation Framework for Remaining Useful Life Prognosis with Quantified Uncertainty

2026 · Govind Vashishtha, Sumika Chauhan, et al. · Sensors

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A smartphone-based vibration dataset for induction motor fault diagnosis under different speed and load conditions

2026 · ERTARĞIN, MERVE, Orhan, Ahmet, et al. · Mendeley Data

A Comparison of Cnn and Transformer-based Models for Algal Species Classification

2025 · Gökçe Kendirlioğlu Şimşek, Merve Ertarğın · Middle East Journal of Science

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A Hybrid Machine Learning Architecture for Acoustic Fault Diagnosis in Electric Motors: Offline and Online Modes via Mobile Phone

2025 · Nikolay Yordanov, Marin Zhilevski, et al. · International Conference on Engineering and Emerging Technologies (ICEET)

Bayesian-Optimized Multi-Task Autoencoder Model for Fault Type Classification, Faulty Line Identification, and Localization in Transmission Lines

2025 · MERVE ERTARĞIN, Ahmet Orhan, et al. · SSRN Electronic Journal

A non-invasive deep learning-based mobile platform application for motor fault detection

2024 · ERTARĞIN, MERVE · DSpace - FIRAT (Fırat University)

Çok Modlu Çalışan Tek Fazlı Matris Dönüştürücünün Giriş Harmoniklerinin Azaltılması

2023 · Merve ERTARĞIN, Ahmet ORHAN, et al. · Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Works count: 20

Citation count: 124

H-index: 5

I10-index: 3