Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mariammal, Thirumeni"'
Autor:
Rizwan A. Farade, Noor Izzri Abdul Wahab, Diaa-Eldin A. Mansour, Norhafiz B. Azis, Jasronita Bt. Jasni, Veerapandiyan Veerasamy, Mariammal Thirumeni, Andrew Xavier Raj Irudayaraj, Avinash Srikanta Murthy
Publikováno v:
IEEE Access, Vol 9, Pp 50607-50623 (2021)
Natural ester oils are the current target of many industries and electrical utilities as electrically insulating fluids to replace the conventional mineral oils. However, as previously investigated, most natural ester oils are based on edible product
Externí odkaz:
https://doaj.org/article/6e29eb7648b64271a7009dd3bf2441cc
Autor:
Mariammal Thirumeni, Deepa Thangavelusamy, Veerapandiyan Veerasamy, Arangarajan Vinayagam, Rizwan A. Farade
Publikováno v:
IETE Journal of Research. :1-20
Autor:
Veerapandiyan Veerasamy, Noor Izzri Abdul Wahab, Rajeswari Ramachandran, Muhammad Mansoor, Mariammal Thirumeni, Mohammad Lutfi Othman
Publikováno v:
Energies, Vol 11, Iss 12, p 3330 (2018)
This paper presents a method to detect and classify the high impedance fault that occur in the medium voltage (MV) distribution network using discrete wavelet transform (DWT) and adaptive neuro-fuzzy inference system (ANFIS). The network is designed
Externí odkaz:
https://doaj.org/article/c81e8db0259842f8896037e331165ff8
Autor:
Norhafiz Azis, Mariammal Thirumeni, Noor Izzri Abdul Wahab, Diaa-Eldin A. Mansour, Veerapandiyan Veerasamy, Rizwan A. Farade, Avinash Srikanta Murthy, Jasronita Jasni, Andrew Xavier Raj Irudayaraj
Publikováno v:
IEEE Access, Vol 9, Pp 50607-50623 (2021)
Natural ester oils are the current target of many industries and electrical utilities as electrically insulating fluids to replace the conventional mineral oils. However, as previously investigated, most natural ester oils are based on edible product
Autor:
Inbamani, Abinaya, Sakthi, A. Siva, Gandhi, R.R. Rubia, Preethi, M., Rajalakshmi, R., Veerasamy, Veerapandi, Mariammal, Thirumeni
Publikováno v:
In Semantic Models in IoT and eHealth Applications 2022:19-37
Autor:
Mariammal Thirumeni
Publikováno v:
International Journal of Recent Technology and Engineering (IJRTE). 8:8700-8706
This paper presents the design and analysis of DC-DC Zeta converter operating in the continuous conduction mode to regulate the output voltage of the converter for automotive battery recharge applications. The state space analysis of the converter is
Autor:
Mohammad Lutfi Othman, Mariammal Thirumeni, Hashim Hizam, Veerapandiyan Veerasamy, Chitra Subramanian, Noor Izzri Abdul Wahab, Rajeswari Ramachandran
Publikováno v:
Neural Computing and Applications. 31:9127-9143
This paper presents the high-impedance fault (HIF) detection and identification in medium-voltage distribution network of 13.8 kV using discrete wavelet transform (DWT) and intelligence classifiers such as adaptive neuro-fuzzy inference system (ANFIS
Publikováno v:
IET Circuits, Devices & Systems. 13:374-384
In this Letter, a hybrid particle swarm optimisation and gravitational search algorithm (PSO–GSA) to tune the parameters of proportional–integral (PI) controller operating in cascade with sliding mode controller (SMC) is proposed for the design o
Autor:
Balasubramonian Madasamy, Veerapandiyan Veerasamy, Mariammal Thirumeni, Rajeswari Ramachandran
Publikováno v:
IET Generation, Transmission & Distribution. 12:1765-1773
This study proposes a generalised Hopfield neural network (GHNN) for solving non-linear load flow equations. The proposed method was formulated with appropriate energy function for performing load flow analysis of n -bus system. The intended method h
Autor:
S.T Suganthi, Arangarajan Vinayagam, Mariammal Thirumeni, A. Deepa, Veerapandiyan Veerasamy, Mohamed Abouhawwash
Publikováno v:
Sustainable Energy Technologies and Assessments. 47:101470
Microgrid (MG) networks have evolved as reliable power source for providing secure, reliable, and low carbon emission of energy supply to the remote communities. Power quality disturbance (PQD) is a common issue affecting the performance of the MG ne