most citedPower transformer faults diagnosis using undestructive methods (Roger and IEC) and artificial neural network for dissolved gas analysis applied on the functional transformer in the Algerian north-eastern: a comparative study

13 citations · 27 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SP2021★ 13 cited

Power transformer faults diagnosis using undestructive methods (Roger and IEC) and artificial neural network for dissolved gas analysis applied on the functional transformer in the Algerian north-eastern: a comparative study

Bouchaoui Lahcene, Kamel Eddine Hemsas, Hacene Mellah +1

Nowadays, power transformer aging and failures are viewed with great attention in power transmission industry. Dissolved gas analysis (DGA) is classified among the biggest widely u…

eess.SP2021

Cascade-Forward Neural Network Based on Resilient Backpropagation for Simultaneous Parameters and State Space Estimations of Brushed DC Machines

Hacene Mellah, Kamel Eddine Hemsas, Rachid Taleb

A sensorless speed, average temperature and resistance estimation technique based on Neural Network (NN) for brushed DC machines is proposed in this paper. The literature on parame…

eess.SP2019★ 5 cited

Estimation of speed, armature temperature and resistance in brushed DC machines using a CFNN based on BFGS BP

Hacene Mellah, Kamel Eddoine Hemsas, Rachid Taleb +1

In this paper, a sensorless speed and armature resistance and temperature estimator for Brushed (B) DC machines is proposed, based on a Cascade-Forward Neural Network (CFNN) and Qu…

eess.SY2019★ 9 cited

Intelligent Sensor Based Bayesian Neural Network for Combined Parameters and States Estimation of a Brushed DC Motor

Hacene Mellah, Kamel Eddine Hemsas, Rachid Taleb

The objective of this paper is to develop an Artificial Neural Network (ANN) model to estimate simultaneously, parameters and state of a brushed DC machine. The proposed ANN estima…