[PDF] Top 20 A Brief Introduction to Fuzzy Logic Technique for Fault Diagnosis
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A Brief Introduction to Fuzzy Logic Technique for Fault Diagnosis
... Fuzzy logic (FL) is a multi valued logic, which allows interim values to be defined between linguistic expressions like yes/no, high/low, ...(Boolean) logic that has been extended to handle ... See full document
12
Artificial Intelligence Tools Aided decision for Power Transformer Fault Diagnosis
... The fault diagnosis models performance was analyzed with fuzzy logic (using Gaussian, trapezoidal and triangular membership functions), neural networks (MLP and RBF) and Support Vector Machine ... See full document
8
Performance Improvement in Fault Diagnosis using Fuzzy Logic Type-2 Classifier
... qualitative technique based on trend granulation and quantitative technique based on logistic regression suggest that the fault datasets correspond to nonlinear dynamic time ... See full document
7
An Interval Type-2 Fuzzy Logic Approach for Instrument Fault Detection and Diagnosis
... about the process: model-based and process history-based. The former, also known as analytical redundancy, generates residuals between the process and its model in order to detect changes in parameters or variables of ... See full document
5
“Motor Current Signature Analysis for Fault Diagnosis and Condition Monitoring of Induction Motors using Interval Type-2 Fuzzy logic”
... In recent years, the problems of failure in large machines have become more significant and of concern in industrial applications. The desire to improve the reliability of industrial drive systems has led to concerted ... See full document
12
Online Full Text
... automation, fault detection and diagnosis has received more and more ...for fault detection and diagnosis can be broadly divided into process history based and process model-based ...involve ... See full document
6
Genetically Tuned Interval Type-2 Fuzzy Logic for Fault Diagnosis of Induction Motor
... on Fuzzy Logic Approach for the Diagnosis of Rotor Faults in Squirrel Cage Induction ...fuzzy logic. Z. Ye, A. Sadeghian, B. Wu (2006) presented Mechanical fault diagnostics for ... See full document
10
Fault Diagnosis of an Induction Motor based on Fuzzy Logic, Artificial Neural Network and Hybrid System
... and diagnosis and the major difficulty is the lack of accurate model that describes a fault motor [7, ...a fuzzy logic approach, neural networks and hybrid system may help to diagnose an ... See full document
10
Fuzzy Logic Approach for Fault Diagnosis of three Phase Transmission Line
... A fault occurs on transmission line when two or more conductors come in contact with each other or ...the fault on transmission line. Fault detection has been achieved by using Fuzzy ... See full document
5
Artificial Intelligence Based Fault Diagnosis of Power Transformer-A Probabilistic Neural Network and Interval Type-2 Support Vector Machine Approach
... Type-2 Fuzzy Support Vector Machine ...the diagnosis accuracies for power transformer fault ...Type-2 Fuzzy Logic, Support Vector Machines, Dissolved gas analysis, Transformer ... See full document
12
Fuzzy Logic Based Fault Classification Scheme for Digital Distance Protection
... the fault as fast as possible to maintain stability in the ...the fault, the faulted part should be isolated from the rest of the system to prevent the fault propagation into healthy ...tasks: ... See full document
9
Soft-Computing Based Data Mining: A Review
... (involving fuzzy sets, neural networks, genetic algorithms, and rough sets) are most widely applied in the data mining step of the overall KDD ...process. Fuzzy sets provide a natural framework for the ... See full document
15
An Introduction to Fuzzy Logic Controller and its Applications
... the fuzzy operations are performed and how fuzzy rules can incorporate the underlying knowledge to develop a fuzzy logic controller or simply a fuzzy ...controller. Fuzzy ... See full document
6
A Concise Introduction to Logic
... We might decide also that each thing that our language talks about has only one name. Some philosophers have thought that such a rule would be very helpful. However, it turns out it is often very hard to know if two ... See full document
223
Diagnosis of failures in a spark ignition engine using fuzzy logic
... the fuzzy logic theory and using the functionality of the FUZZY DESIGNER software; therefore, it could be performed a corrective maintenance in an internal combustion engine, rapidly and ...designed ... See full document
6
Type 2 fuzzy elliptic membership functions for modeling uncertainty
... in fuzzy logic theory, no doubt almost all of them report the superiority of fuzzy logic systems over the conventional methods, may cause the readers get lost in this big ocean; and frankly ... See full document
38
Fault Diagnosis Technology Based on Model Driven
... the fault reasoning process can be completed in the fault period (time from the beginning to the end of the fault, usually 7 - 8 s) and send the fault report to the dispatching ...the ... See full document
6
Compositional Rule of Inference and Adaptive Fuzzy Rule Based Scheme with Applications
... analysis fuzzy inference scheme dominates over classical two-valued ...a fuzzy inference scheme, linguistic variables are used in observation and effect parts to get a ...Adaptive fuzzy rule based ... See full document
14
Fuzzy Fault Tree Analysis for Fault Diagnosis of Cannula Fault in Power Transformer
... one fuzzy number is assigned to a particular basic event by different ...triangular fuzzy numbers. Three fuzzy numbers are assigned to each basic event by the Experts A, B and ...with fuzzy ... See full document
10
Analog Circuit Diagnosis Based on SubKPCA SVM
... Fault diagnosis for analog circuit is still a challenging subject in the circuit test research ...of fault types of the circuit, it is difficult for the conventional fault diagnosis ... See full document
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