[PDF] Top 20 “Fault Diagnosis of Power Distribution System using Interval Type-2 Fuzzy Data mining”
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“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
Biologically Inspired Inteligent Fault Diagnosis for Power Distribution Systems
... Power distribution systems have been significantly affected by a wide range of fault- causing events; and the current outage restoration procedure may take from tens of minutes to ...the ... See full document
154
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 ...by fuzzy logic. Z. Ye, A. Sadeghian, B. Wu (2006) presented Mechanical fault diagnostics for induction ... See full document
10
“An Interval Type-2 Fuzzy Logic Approach for Induction Motors Stator Condition Monitoring”
... motors fault detection and ...a fault motor. An interval type-2 fuzzy logic approach may help to diagnose induction motor ...described using linguistic variables. An ... See full document
16
Power System Transient Stability Analysis Based on Evolutionary Interval Type-2 Fuzzy Logic Controller and GA System
... study using MATLAB simulation, an excellent response of the EIT2FLC controller and with no oscillation, while the AVR response presented a ripple in both studies and some oscillations before reaching the steady ... See full document
13
Reliability Investigation of Series-Parallel and Components of Power System using Interval Type-2 Fuzzy Set Theory
... A fault tree is a logical and graphical description of various combinations of failure ...a fault tree, first we determine the hazards and then look for the events causing this ...the system like ... See full document
12
Power System Transient Stability Analysis Based On Interval Type-2 Fuzzy Logic Controller And Genetic Algorithms
... study using MATLAB simulation, an excellent response of the IT2FLC controller and with no oscillation, while the AVR response presented a ripple in both studies and some oscillations before reaching the steady ... See full document
18
Power distribution fault cause identification with imbalanced data using the data mining-based fuzzy classification E-algorithm
... the fault [1], [2]; on the other hand, effective fault cause identifica- tion can also provide valuable information to narrow down the areas that have to be searched so as to speed up the restoration ... See full document
8
Artificial Intelligence Based Fault Diagnosis of Power Transformer-A Probabilistic Neural Network and Interval Type-2 Support Vector Machine Approach
... ABSTRACT: Power transformers has an important role in electrical power transmission and its interruption has financial losses, thus its condition monitoring is essential and performance of this equipment is ... See full document
12
“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 data requires a detailed understanding of the steam turbine design, operation, and ...turbine fault ... See full document
13
An Interval Type-2 Fuzzy Logic Approach for Instrument Fault Detection and Diagnosis
... process data is required to extract features about the process that will be used in the diagnostic ...and Fuzzy Logic ...a fault. In cases in which data measurement is noisy and incomplete or ... See full document
5
From interval valued data to general type 2 fuzzy sets
... represented using the proposed IAA ...expert data, resulted both in the lack of confidentiality requirements and the straightforward possibility of repeated ...provided using intervals to define ... See full document
23
Time series forecasting with interval type 2 intuitionistic fuzzy logic systems
... dataset is a time series that shows the number of lynx trapped in the Mckenzie river district per year in northern Canada and corresponds to the period 1821-1934. Similar to previous studies such as [26]–[28], the ... See full document
6
Type-2 Fuzzy Hybrid Expert System For Diagnosis Of Degenerative Disc Diseases
... medical diagnosis, but only few expert systems have been found for diagnosis of the low back and neck pain ...Expert System to diagnose the low back disorders whose knowledge bases were developed ... See full document
10
AN ITERATIVE GENETIC ALGORITHM BASED SOURCE CODE PLAGIARISM DETECTION APPROACH USING NCRR SIMILARITY MEASURE
... Parallelization has successfully reduced the computation time of the QoWS monitoring models. This can be seen from all types of FIS models, namely Mamdani, Sugeno-Average and Sugeno-Sum. Sugeno FIS models outperformed ... See full document
10
Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets
... being 2 Hz, the sampling intervals are of 0.5 seconds. The sampling interval constitutes four equal time-slices of ...performed using (Cognitive Optical Brain Imaging) COBI studio software, supplied ... See full document
29
Interval type–2 fuzzy decision making
... risk. Type-1 fuzzy logic by its (essentially) crisp nature is limited in modelling decision making as there is no uncertainty in the membership ...that interval type–2 fuzzy sets ... See full document
20
Comparative Analysis of Power System Total Harmonics During Fault using Overcurrent Relay Implementing Fuzzy Logic Controller
... reactive power is completely independent from the actual generated voltage at the connection point; This is the main advantage of STATCOM, due to which STATCOM maintains its full potential at the most critical ... See full document
13
Adaptive Neuro Fuzzy Inference System for Fault Diagnosis of Feed Pump
... vibration data collected from a faulty rotating machine can exhibit different nonlinear and transient ...Neuro Fuzzy Inference system to on line fault diagnosis of critical machinery in ... See full document
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