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[PDF] Top 20 Neuro-Fuzzy Based Performance Evaluation of Shunt Motor

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Neuro-Fuzzy Based Performance Evaluation of Shunt Motor

Neuro-Fuzzy Based Performance Evaluation of Shunt Motor

... the evaluation of the DC Shunt motor. In this kind of motor, the field winding and the combinations is connected across the ...appropriate motor for an application. In DC shunt ... See full document

6

A Genetic Algorithm Based Neuro Fuzzy Controller for the Speed Control of Induction Motor

A Genetic Algorithm Based Neuro Fuzzy Controller for the Speed Control of Induction Motor

... algorithm based self-tuned Neuro fuzzy controller (NFC) for the speed control of an induction motor drive (IMD) is ...of fuzzy controller were translated into binary bit strings which ... See full document

10

Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

... types based upon the back EMFwaveform, brushless AC (BLAC) and brushless DC(BLDC) ...ranges. Fuzzy logic is widely used inmachine control. The term "fuzzy" refers to the fact that the logic ... See full document

8

Employee Performance Appraisal System Using Adaptive Neuro Fuzzy Inference System (Anfis): A Case Study of Amik Pakarti Luhur

Employee Performance Appraisal System Using Adaptive Neuro Fuzzy Inference System (Anfis): A Case Study of Amik Pakarti Luhur

... Employee performance indicates the result of work from employee in conducting the job based on competence, manner, and ...employee performance, there are many factors, including loyalty, ... See full document

8

AN Adaptive Neuro Fuzzy Inference System Control For A Bearingless Induction Motor Based On A Disturbance Observer

AN Adaptive Neuro Fuzzy Inference System Control For A Bearingless Induction Motor Based On A Disturbance Observer

... poor performance regarding controlling capacity of the bearing-less induction motor (BIM) when there are deviations in the parameters, outer disturbances and changes in the ...Adaptive ... See full document

7

Speed Control Of Brushless Dc Motor Using Neuro Fuzzy Based Pid Controller

Speed Control Of Brushless Dc Motor Using Neuro Fuzzy Based Pid Controller

... BLDC motors are often assumed in three phases, but this is not necessary in every case. In small motors light-duty cooling fans have minimal performance requirements, and it is cost effective to build them just ... See full document

6

PERFORMANCE EVALUATION OF FUZZY LOGIC CONTROL OF INDUCTION MOTOR

PERFORMANCE EVALUATION OF FUZZY LOGIC CONTROL OF INDUCTION MOTOR

... induction motor speed ...induction motor are varied such that it operates at steady state, and desired ...two fuzzy inputs using the fuzzy control rules and the database, which are defined ... See full document

10

Enactment investigation of indirect vector 
		control induction motor using various predictive controller

Enactment investigation of indirect vector control induction motor using various predictive controller

... dynamic performance of A.C. drives [1] in modern past. Nonlinear controller based on fuzzy logic, neural networks and other computation intellect proposals to deal the dynamics of great ... See full document

8

Fault diagnosis of induction motor based on decision trees and adaptive neuro fuzzy inference

Fault diagnosis of induction motor based on decision trees and adaptive neuro fuzzy inference

... The system parameters and the chosen membership functions are automatically adjusted during the learning process. The convergence of the root mean squared (RMS) error is utilized to evaluate the learning process. If the ... See full document

21

Adaptive Neuro-Fuzzy Approach To Web-Based Enterprise Software Evaluation

Adaptive Neuro-Fuzzy Approach To Web-Based Enterprise Software Evaluation

... a Neuro-fuzzy system for student ...students based on qualitative observations of their ...adaptive Neuro fuzzy inference system (ANFIS) using genetic algorithm (GA) to assess student’s ... See full document

10

Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS

Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS

... the motor have a complex coupling between the field and ...each motor and their concert in different operating ...a Fuzzy Logic Controller (FLC) and Adaptive Neuro Fuzzy Inference ... See full document

8

Development and evaluation of an adaptive neuro fuzzy interface models to predict performance of a solar dryer

Development and evaluation of an adaptive neuro fuzzy interface models to predict performance of a solar dryer

... the performance of a continuous fluidized bed ...seven performance indices based on the three input ...and Neuro-Taguchi's method to model and simulate apple ...of Neuro-Taguchi's ... See full document

10

Fuzzy Logic Controller Based Speed Analysis and Control of DC Shunt Motor

Fuzzy Logic Controller Based Speed Analysis and Control of DC Shunt Motor

... DC motor is a power actuator which converts electrical energy into mechanical ...DC motor is used in applications where wide speed ranges are ...the motor should be accurately controlled to give the ... See full document

8

Performance Evaluation of Fuzzy and Neuro Fuzzy Based Image Fusion

Performance Evaluation of Fuzzy and Neuro Fuzzy Based Image Fusion

... paper, neuro fuzzy logic methodology exploited to fuse images from dissimilar sensors, in order to improve conception and ...and fuzzy, neuro fuzzy based image techniques along ... See full document

7

Neuro fuzzy Controller for High Performance Induction Motor Drives

Neuro fuzzy Controller for High Performance Induction Motor Drives

... average motor efficiency is ...of motor duty cycle contains light load conditions leading to poor operating ...the motor flux to cope with load torque ...improved motor efficiency and power ... See full document

5

DYNAMIC SENSOR RELOCATION TECHNIQUE BASED LIGHT WEIGHT INTEGRATED PROTOCOL FOR 
WSN

DYNAMIC SENSOR RELOCATION TECHNIQUE BASED LIGHT WEIGHT INTEGRATED PROTOCOL FOR WSN

... uses fuzzy logic, artificial intelligence, ANFIS, swarm intelligence for generating control signals and mitigating current ...AI based techniques will play significant role in power electronics and ... See full document

8

Reasoning of the student’s performance based on adaptive neuro-fuzzy inference system

Reasoning of the student’s performance based on adaptive neuro-fuzzy inference system

... complete fuzzy rule base in order to solve the problem of the incomplete and vagueness in the decision made by the ...network fuzzy inference systems to reason the student’s ... See full document

23

Threshold Neuro Fuzzy Expert System for Diagnosis of Breast Cancer

Threshold Neuro Fuzzy Expert System for Diagnosis of Breast Cancer

... Expert system is the way to separate domain specific knowledge from more general purpose reasoning and presentation technique. The inference engine is used to reason with both Expert knowledge and data to the particular ... See full document

5

Modeling Academic Performance Evaluation using Fuzzy C Means Clustering Techniques

Modeling Academic Performance Evaluation using Fuzzy C Means Clustering Techniques

... CONCLUSION AND FUTURE WORK In this paper, we have proposed rule based Fuzzy Expert system for students’ academic performance evaluation based Fuzzy CMeans Clustering Algorithm, Fuzzy Log[r] ... See full document

9

Effective Assessment of Software Reliability by Using Neuron-Fuzzy System

Effective Assessment of Software Reliability by Using Neuron-Fuzzy System

... the fuzzy logic and neural networks models were very ...developed fuzzy model and neural networks for assessing the software ...After evaluation of our proposed model, we can say that we proposed ... See full document

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