Ramesh Babu N

Dr. Ramesh Babu N

M.Kumarasamy College of Engineering, Karur, India
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2016 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Closed access
SSSaravanan Subramani
Saravanan Subramani
RNRamesh Babu N
Ramesh Babu N

1 December 2016 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Closed access
RTRamji Tiwari
Ramji Tiwari
RNRamesh Babu N
Ramesh Babu N

14 August 2017 in IEEE Journal of Emerging and Selected Topics in Power Electronics
Verified
Journal Article
Closed access
SSSaravanan Subramani
Saravanan Subramani
RNRamesh Babu N
Ramesh Babu N
In this paper, a new single switch high step-up dc-dc converter with high voltage gain is proposed. The proposed topology is developed by combining boost and single-ended primary inductor converter with diode-capacitor circuit to reduce the stress across the semiconductor devices. The proposed converter produces low switching voltage and hence it improves its efficiency. The operating principle and the steady-state performance analysis are discussed. The performance of the converter is validated by developing a prototype circuit with input voltage of 30 V, output voltage of 300 V, and output power rating of 250 W. The theoretical analysis and experimental results conclude the proposed converter that is suitable for high-voltage applications.

1 August 2016 in Energy Conversion and Management
Verified
Journal Article
Closed access
SSSaravanan Subramani
Saravanan Subramani
RNRamesh Babu N
Ramesh Babu N

1 June 2017 in Ain Shams Engineering Journal
Verified
Journal Article
Open access
RNRamesh Babu N
Ramesh Babu N
BMB. Jagan Mohan
B. Jagan Mohan
In recent years, power quality has become the main concern in power system engineering. Classification of power system faults is the first stage for improving power quality and ensuring the system protection. For this purpose a robust classifier is necessary. In this paper, classification of power system faults using Empirical Mode Decomposition (EMD) and Support Vector Machines (SVMs) is proposed. EMD is used for decomposing voltages of transmission line into Intrinsic Mode Functions (IMFs). Hilbert Huang Transform (HHT) is used for extracting characteristic features from IMFs. A multiple SVM model is introduced for classifying the fault condition among ten power system faults. Algorithm is validated using MATLAB/SIMULINK environment. Results demonstrate that the combination of EMD and SVM can be an efficient classifier with acceptable levels of accuracy