[PDF] Top 20 Performance Improvement in Fault Diagnosis using Fuzzy Logic Type-2 Classifier
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Performance Improvement in Fault Diagnosis using Fuzzy Logic Type-2 Classifier
... Type-2 fuzzy sets and systems generalize Type-1 fuzzy sets and systems so that more uncertainty can be ...of fuzzy sets, criticism was made about the fact that the membership ... See full document
7
Artificial Intelligence Based Fault Diagnosis of Power Transformer-A Probabilistic Neural Network and Interval Type-2 Support Vector Machine Approach
... and performance of this equipment is effective for power system ...Interval Type-2 Fuzzy Support Vector Machine ...the performance of proposed ...classified using AI ...excellent ... See full document
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Genetically Tuned Interval Type-2 Fuzzy Logic for Fault Diagnosis of Induction Motor
... no fault and 1 if there is ...avoiding fault, higher speed, and mostly reliable ...Type2Fuzzy Logic Controller (IT2FLC) where the fuzzy knowledge based, ...Genetic Fuzzy System ... See full document
10
“Fault Diagnosis of Power Distribution System using Interval Type-2 Fuzzy Data mining”
... Type-1 fuzzy logic controllers employ crisp and precise Type-1 fuzzy ...a Type-1 fuzzy set representing the linguistic label of ‘Low’ voltage in ...this Type-1 ... See full document
13
Self Organising Fuzzy Logic Classifier
... and 2) online ...and 2) evolving ...“one-pass” type, which means that they are able to consistently learn from newly arrived data samples and only store the key information in memory, meanwhile, ... See full document
19
Artificial Intelligence Tools Aided decision for Power Transformer Fault Diagnosis
... intelligent fault classification approach for power transformer dissolved gas analysis ...(DGA). Fault diagnosis methods by the DGA and artificial intelligence (AI) techniques are implemented to ... See full document
8
AN ITERATIVE GENETIC ALGORITHM BASED SOURCE CODE PLAGIARISM DETECTION APPROACH USING NCRR SIMILARITY MEASURE
... delivery performance and detects problems. Our previous work proposed a fuzzy model for QoWS monitoring due to uncertain nature of web service ...However, fuzzy models are computationally ...the ... See full document
10
A Brief Introduction to Fuzzy Logic Technique for Fault Diagnosis
... The fuzzy controller has been designed using three types of membership functions, ...the fuzzy membership function have been specified in Table:1. The fuzzy rules being used for the ... See full document
12
A Self-Evolving Fuzzy Classifier for Gear Fault Diagnosis
... Fault diagnosis is a sequential process involving two steps: feature (symptom) extraction and pattern classification ...extracted using the appropriate signal processing ...[3], fuzzy ... See full document
7
“Motor Current Signature Analysis for Fault Diagnosis and Condition Monitoring of Induction Motors using Interval Type-2 Fuzzy logic”
... faults using interval type-2 fuzzy logic based Motor Current Signature Analysis for Fault Diagnosis and Condition Monitoring of Induction Motors, and the motor condition ... See full document
12
“Interval Type-2 Fuzzy Logic Rule based Data mining for Steam Turbine Fault Analysis of a Power System Rotatory Machine Component”
... faults diagnosis, feature extraction is an important step for detecting steam turbine ...turbine fault diagnosis because it is based on a great deal of engineering ...to fault ... See full document
13
An Interval Type-2 Fuzzy Logic Approach for Instrument Fault Detection and Diagnosis
... In a GPU each SGC trip implies in at least two hours of shutdown until the SGC system can be restarted, which represents a cost of thousands of dollars for the company. This work shows the potentiality, simplicity and ... See full document
5
AC motor speed performance improvement using fuzzy logic control
... as fuzzy logic controller have shown high potential for induction motor ...the performance of induction motor speed ...develop using intelligent system to guarantee the stable operation even ... See full document
40
Photovoltaic Power Control Using Fuzzy Logic and Fuzzy Logic Type 2 MPPT Algorithms and Buck Converter
... the performance of the three algorithms in different climatic conditions, a variation of the incidence angle of irradiation was ...880W/m 2 at the beginning of the ...310W/m 2 and returns to the ... See full document
15
A Study on Performance of Fuzzy Logic Type 2 PSS and Fuzzy type 2 Model Reference Learning PSS
... The layout of the proposed programmable divider is shown in Fig. 10. Comparing with the conventional divider with four D- latches, it consumes 3080µm2 which is much less than the previous structures. Table 2 ... See full document
6
A Novel Gesture Recognition System Based on Fuzzy Logic for Healthcare Applications
... 92.14% using the proposed ...evaluated using mathematical formulations, have been utilized. The performance of the proposed approach has been compared with several standard pattern classification ... See full document
8
Improvement in performance of active clamp forward converter with fuzzy logic controller
... by using a mathematical model of the converter and by using a systematic procedure like frequency response method or by using root locus ...as fuzzy logic controller for power ...the ... See full document
7
A Closed Loop Fault Tolerant Series Resonant Dc-Dc Converter
... the fuzzy logic controller for the better performance comparing the other controller ...circuit fault will be evaluated for the full bridge series resonant converter and with the ... See full document
8
Type 2 fuzzy elliptic membership functions for modeling uncertainty
... many type reduction algorithms have also been proposed including those does not need any type reduction ...of type-2 fuzzy logic controller real-time implementations within the ... See full document
38
Fault diagnosis of induction motor based on decision trees and adaptive neuro fuzzy inference
... of fault diagnosis of induction ...of classifier in the next iterative step. Second, the ANFIS classifier is used to diagnose the faults of induction motors wherein the parameters of ... See full document
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