[PDF] Top 20 “Motor Current Signature Analysis for Fault Diagnosis and Condition Monitoring of Induction Motors using Interval Type-2 Fuzzy logic”
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“Motor Current Signature Analysis for Fault Diagnosis and Condition Monitoring of Induction Motors using Interval Type-2 Fuzzy logic”
... in induction motors based on fluctuations of the stator current zero-crossing instants was very efficient before actual breakdown ...synchronous motors using the coherence ... See full document
12
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 ...Motors. Motor Current Signature Analysis (MCSA) was ...fuzzy ... See full document
10
Condition Monitoring of Gear Box by Using Motor Current Signature Analysis
... THE Motor Current Signature Analysis (MCSA) is considered the most popular fault detection method now a day because it can easily detect the common machine fault such as turn to ... See full document
6
An Application to Transient Current Signal based Induction Motor Fault Diagnosis of Fourier Bessel Expansion and Simplified Fuzzy ARTMAP
... approaches using combinations of mechanical and electrical monitoring have been ...electrical monitoring with emphasis on inspecting the stator current has gradually become one of the most ... See full document
30
Fault Diagnosis of an Induction Motor based on Fuzzy Logic, Artificial Neural Network and Hybrid System
... the fault diagnosis of a three-phase induction motor using fuzzy logic, neural network and hybrid ...Detailed analysis during voltage unbalance, open phase, low ... See full document
10
Induction Motor Stator Fault Detection And Health Monitoring Using Fuzzy Logic
... the motor fault diagnosis process, time domain current signals are captured from current ...for diagnosis then uses both time domain and frequency domain signals to study ... See full document
7
“An Interval Type-2 Fuzzy Logic Approach for Induction Motors Stator Condition Monitoring”
... Fig.2 shows the inference system and design of the rules based on the expert understanding. The process consists of two parts: knowledge acquisition and formation of rules and combination of rules. Hence, the ... See full document
16
Artificial Intelligence Based Fault Diagnosis of Power Transformer-A Probabilistic Neural Network and Interval Type-2 Support Vector Machine Approach
... its condition monitoring is essential and performance of this equipment is effective for power system ...and Interval Type-2 Fuzzy Support Vector Machine ...classified ... See full document
12
AC Motor Fault Analyser by Characteristic Analysis
... is motor testing. At present motors are tested only after they are assembled with other circuit ...any fault is detected in the motor after the assembly stage, the whole system has to be ... See full document
6
“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
Analysis of the Induction Motor used in Temperature Controller Machine by condition based Monitoring System
... phase Induction machine are used for home appliances hence the machine monitoring plays an important role for industrial as well as domestic appliances ...Various fault detection method has been used ... See full document
9
Smart torque control for overloaded motor using artificial intelligence approach
... Boolean logic has been extended to deal with the concept of partial truth – truth values which exist between “completely true" and "completely false", and what we shall be referring to as fuzzy ... See full document
36
Fault diagnosis of induction motor based on decision trees and adaptive neuro fuzzy inference
... of fault diagnosis of induction ...of induction motors wherein the parameters of membership functions which are tuned throughout the learning ... See full document
21
An Evolving Fuzzy Classifier for Induction Motor Health Condition Monitoring
... To solve the parameter and expertise-related problems of ANFIS-based clas- sifiers, an evolving FIS system can be used for classification, where both system parameters and linguistic fuzzy reasoning structure are ... See full document
13
Fault analysis in parallel inverter topology for induction motor drive
... circuit fault conditions, the output of the inverter distorts and the corresponding induction motor characteristics are also distorted giving distorted speed ...the motor. With the presence of ... See full document
9
Induction motor modelling using fuzzy logic
... The induction motor, which is the most widely used motor type in the industry, has been favoured because of its good self-starting capability, simple and rugged structure, low cost and ... See full document
34
Induction motor controller using fuzzy logic
... Volts/Hertz control is a basic control method, providing a variable frequency drive for applications like fan and pump. It provides fair speed and starting torque, at a reasonable cost. Sensor less vector control ... See full document
37
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 ... See full document
10
Performance Improvement in Fault Diagnosis using Fuzzy Logic Type-2 Classifier
... the fault datasets correspond to nonlinear dynamic time ...this type of data, hence it is proposed to use Type-2 FLS based classifier to deal with the impact of uncertainty on classification ... See full document
7
Condition Monitoring of Bearing Faults Using the Stator Current and Shrinkage Methods
... classification in induction motors by using motor current and voltage, in IEEE International Joint. 384[r] ... See full document
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