The development of an excavation damaged zone (EDZ) around an underground excavation can change the physical, mechanical and hydraulic behaviors of the rock mass near an underground space. This might result in endangering safety, achievement of costs and excavation planed. This paper presents an approach to build a prediction model for the assessment of EDZ, based upon rock mass characteristics...

Knowledge of the distinctive frequencies and amplitudes broken rotor bar (BRB) faults in induction motor (IM) is essential for most fault diagnosis methods. Fast Fourier transform (FFT) widely applied to diagnose within BRBs. However, this method does not provide satisfactory results if it directly stator current signal at low slip because a high-resolution spectrum required separate different ...

This paper proposes an adaptive neuro-fuzzy inference system (ANFIS) maximum power point tracking (MPPT) controller for grid-connected doubly fed induction generator (DFIG)-based wind energy conversion systems (WECS). It aims at extracting from the by peak regardless of speed. The proposed MPPT implements ANFIS approach with a backpropagation algorithm. rotor speed acts as input to and torque r...

Wind energy is increasing its participation as a main source of energy in power grids and electric utility systems around the world. One of the main difficulties of integrating large amounts of wind energy in power grids is the natural intermittency of its generated power [1, 2] due to the energy produced from the wind turbine being dependent on the availability of the wind, which is highly sto...

Decision making pertaining to injection profiles during oilfield development is one of the most important factors that affect the oilfields’ performance. Since injection profiles are affected by multiple geological and development factors, it is difficult to model their complicated, non-linear relationships using conventional approaches. In this paper, two adaptivenetwork-based fuzzy inference ...

This paper analyses the operation of an adaptive neurofuzzy inference system (ANFIS)-based maximum power point tracking (MPPT) for solar photovoltaic (SPV) energy generation system. The MPPT works on the principle of adjusting the voltage of the SPV modules by changing the duty ratio of the Quasi-zsource inverter. The duty ratio of the inverter is calculated for a given solar irradiance and tem...

Abstract Data-driven models can predict, estimate, and monitor any highly nonlinear multi-variable behaviour of high-temperature superconducting (HTS) materials, devices to analyse their characteristics with a very high accuracy in an almost real-time procedure, which is significant figure merit as compared traditional numerical approaches. The electromechanical twisted HTS tapes under differen...

In this paper, a method for solving forward and inverse kinematics of redundant manipulator is proposed. Obtaining the joint variables of these manipulators from a desired position of the robot end-effector called as inverse kinematics (IK), is one of the most important problems in robot kinematics and control. The difficulties in solving the IK equations of these redundant robot manipulator ar...

Thermal errors can have significant effects on CNC machine tool accuracy. The errors usually come from thermal deformations of the machine elements created by heat sources within the machine structure or from ambient change. The performance of a thermal error compensation system inherently depends on the accuracy and robustness of the thermal error model. In this paper, Adaptive Neuro Fuzzy Inf...

Several models have been created for Smart Grid resource-allocation problem. The principal purpose of the models is to connect power sources with appropriate sinks when considering the input parameters of power balance and consumption size, etc. Fuzzy logic is representative of these models. When creating the fuzzy model, the parameters and rule construction play the most significant role. For ...