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fuzzy-based fault diagnosis system

FUZZY BASED FAULT DETECTION AND DIAGNOSIS IN PNEUMATIC ACTUATOR IN CEMENT INDUSTRY

FUZZY BASED FAULT DETECTION AND DIAGNOSIS IN PNEUMATIC ACTUATOR IN CEMENT INDUSTRY

... and diagnosis is an important task with increasing attention in the academic and industrial fields, due to economical and safety related ...of fault can help avoid system shutdown, breakdown and even ...

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Fault Diagnosis Method for Hydraulic Pump Based on Fuzzy Entropy of Wavelet Packet and LLTSA

Fault Diagnosis Method for Hydraulic Pump Based on Fuzzy Entropy of Wavelet Packet and LLTSA

... measure system made by NI ...of fault states were set: Normal working state (N), single plunger loose slipper (1P), double plungers loose slipper (2P), piston shoes wear ...of fault states, which ...

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Fault Diagnosis of an Induction Motor based on Fuzzy Logic, Artificial Neural Network and Hybrid System

Fault Diagnosis of an Induction Motor based on Fuzzy Logic, Artificial Neural Network and Hybrid System

... diagnoses the motor conditions. In this final step, where fuzzy actions are reconverted to crisp ones, the “center of area” method has been adopted. According to this method, first each affected output membership ...

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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

... For acquiring data from test rig, three AC current probes and three accelerometers were used to measure the stator current of the three-phase power supply and vibration signal in the horizontal, vertical, axial ...

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“Fault Diagnosis of Power Distribution System using Interval Type-2 Fuzzy Data mining”

“Fault Diagnosis of Power Distribution System using Interval Type-2 Fuzzy Data mining”

... of fault locating in a radial power distribution system is ...type-2 fuzzy system will ease the calculation ...with fault occurred in power system can be effectively used as a ...

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Adaptive Neuro Fuzzy Inference System for Fault Diagnosis of Feed Pump

Adaptive Neuro Fuzzy Inference System for Fault Diagnosis of Feed Pump

... downtime. Fault diagnosis has become increasingly more important for industrial ...intelligent system in detection of vibration faults in Feed ...is based on Adaptive Neuro Fuzzy ...

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Fuzzy Logic Approach for Fault Diagnosis of three Phase Transmission Line

Fuzzy Logic Approach for Fault Diagnosis of three Phase Transmission Line

... power system component suffers from unexpected failure due to various random ...A fault occurs on transmission line when two or more conductors come in contact with each other or ...model based on ...

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Artificial Intelligence Fuzzy Inference System based Fault Detection and Isolation Scheme for Pneumatic Actuator

Artificial Intelligence Fuzzy Inference System based Fault Detection and Isolation Scheme for Pneumatic Actuator

... solve Fault Diagnosis problems in nonlinear dynamic systems can be broadly classified into three ...as fault classifiers to solve Fault Diagnosis problems ...type Fuzzy Inference ...

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Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For The Motor

Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For The Motor

... the fuzzy neural network that have been normalized after obtaining by wavelet packet ...The fuzzy neural network absorbs the benefits of fuzzy logic, neural networktechnology, expert’s knowledge and ...

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Research on fault diagnosis system of hall for workshop of meta-synthetic engineering based on information fusion

Research on fault diagnosis system of hall for workshop of meta-synthetic engineering based on information fusion

... the diagnosis process of industrial equipments, rough set theory, fuzzy theory, neural network, gray theory, genetic algorithm, D-S evidence theory, and the information fusion comprehensive diagnosis ...

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Fuzzy Fault Tree Analysis for Fault Diagnosis of Cannula Fault in Power Transformer

Fuzzy Fault Tree Analysis for Fault Diagnosis of Cannula Fault in Power Transformer

... power system issues. So fault diagnosis for power transformer is highly important to ensure an uninterrupted power ...produced. Based on these points, this paper presents an intelligent ...

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Fault diagnosis of compressor based on decision tree and fuzzy inference system

Fault diagnosis of compressor based on decision tree and fuzzy inference system

... The most critical failures of compressors occur in their blades. Consequently, cracks and fractures of blades of compressors belonging to Iran-Arak Gas Transmission Company were analyzed in present study. If detection ...

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Multi-agent and knowledge-based system for power transformer fault diagnosis

Multi-agent and knowledge-based system for power transformer fault diagnosis

... case, fault diagnosis techniques are required to identify the failure component of power ...Various diagnosis methods, ...[51], fuzzy logic [52], machine learning, such as Support Vector ...

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Wind Turbine Monitoring and Diagnosis Using CAN

Wind Turbine Monitoring and Diagnosis Using CAN

... can system interface, sensors and ...control system used in automation, intelligence and networking. The fault monitoring unit contains smart electronic components such as Microcontrollers with ADC, ...

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A Self-Evolving Fuzzy Classifier for Gear Fault Diagnosis

A Self-Evolving Fuzzy Classifier for Gear Fault Diagnosis

... neural fuzzy classification schemes have been proposed in literature for fault detection, their reasoning architecture remains fixed, allowing only the system parameters to be updated in pattern ...

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Fault Detection and Classification using Kalman Filter and Hybrid Neuro Fuzzy Systems

Fault Detection and Classification using Kalman Filter and Hybrid Neuro Fuzzy Systems

... been based on using general input-output and state space models to generate ...the system from the measurements (or a subset of measurements) by using either observers in a deterministic setting or ...

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Data–Driven Fault Diagnosis of a Wind Farm Benchmark Model

Data–Driven Fault Diagnosis of a Wind Farm Benchmark Model

... earlier fault detection and diagnosis with application to a wind farm ...was based on fault estimators relying on data–driven approaches, as they represented effective tools for coping with a ...

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“Motor Current Signature Analysis for Fault Diagnosis and Condition Monitoring of Induction Motors using Interval Type-2 Fuzzy logic”

“Motor Current Signature Analysis for Fault Diagnosis and Condition Monitoring of Induction Motors using Interval Type-2 Fuzzy logic”

... type-2 fuzzy logic based Motor Current Signature Analysis for Fault Diagnosis and Condition Monitoring of Induction Motors, and the motor condition was established with the help of spectrum ...

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Fault Diagnosis in Induction Motor using Fuzzy Logic

Fault Diagnosis in Induction Motor using Fuzzy Logic

... electrical load in all sort of industry. These motors are sensitive to different kinds of faults. When one of this faults occur in the induction motor then the motor has to be stopped for maintenance schedule. The cost ...

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A Brief Introduction to Fuzzy Logic Technique for Fault Diagnosis

A Brief Introduction to Fuzzy Logic Technique for Fault Diagnosis

... Huh et al. [2] has proposed a new local damage detection method of damaged structures using the vibratory power estimated from accelerations measured on the beam structure. A damage index is newly defined by them ...

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