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neural/fuzzy fault detection system

Using a neural/fuzzy system to extract heuristic knowledge of incipient faults in induction motors: Part II, Application

Using a neural/fuzzy system to extract heuristic knowledge of incipient faults in induction motors: Part II, Application

... The resulting fuzzy rules and membership functions not only provided heuristic description of the fault detection process, but also the neurallfuzzy motor fault detector achieved[r] ...

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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

... the detection of faults in industrial plants, their isolation, and their identification [9, ...faults detection and diagnosis and the major difficulty is the lack of accurate model that describes a ...

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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis

Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis

... motor fault detection/diagnosis. Both structures can provide good fault detection/diagnosis under varying load torque, with the results of the AFD being slightly more ...of fuzzy ...

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Fault Diagnostics on Steam Boilers and Forecasting System Based on Hybrid Fuzzy Clustering and Artificial Neural Networks in Early Detection of Chamber Slagging/Fouling

Fault Diagnostics on Steam Boilers and Forecasting System Based on Hybrid Fuzzy Clustering and Artificial Neural Networks in Early Detection of Chamber Slagging/Fouling

... The slagging/fouling due to the accession of fireside deposits on the steam boilers decreases boiler efficiency and availability which leads to unexpected shut-downs. Since it is inevitably associated with the three ...

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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 ...on fault estimators relying on data–driven approaches, as they represented effective tools for coping with a poor analytical ...

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Fault Detection in Hydraulic System Using Fuzzy Logic

Fault Detection in Hydraulic System Using Fuzzy Logic

... The fault detection problem can be solved using different approaches like Wald’s Sequential Test, as in [4] which is a conventional approach or using innovative approaches like genetic algorithms as in ...

6

Fault Detection and Isolation of Vehicle Driveline System

Fault Detection and Isolation of Vehicle Driveline System

... design fault detection and isolation (FDI) systems for Vehicle ...of fuzzy logic, neural networks, seems to have two ...the system can be easily expanded for new fault ...

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Fault Classification, Distance Location and Faulty Section Identification in Teed Transmission Circuits using Artificial Neural Network

Fault Classification, Distance Location and Faulty Section Identification in Teed Transmission Circuits using Artificial Neural Network

... for fault detection, classification and distance location for shunt faults on teed circuit transmission line fed from sources at all three ends is presented in this ...of fault type, faulted phases ...

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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL 
CLIMBING APPROACH

ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH

... (1) FCNN has higher recognition ratio than traditional HMM, especially in the correct ratio. It further shows that the new recognition model effectively introduces the frame’s correlation of speech signal. System's ...

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A Novel Intrusion Detection System Using Neural-Fuzzy Classifier for Network Security

A Novel Intrusion Detection System Using Neural-Fuzzy Classifier for Network Security

... combining fuzzy based rules with neural based classifier. Fuzzy rules provides a probability outcome of a signature which is then classified by neuro ...proposed System produces 100% accuracy ...

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IMPROVEMENT OF PERFORMANCE INTRUSION DETECTION SYSTEM (IDS) USING ARTIFICIAL 
NEURAL NETWORK ENSEMBLE

IMPROVEMENT OF PERFORMANCE INTRUSION DETECTION SYSTEM (IDS) USING ARTIFICIAL NEURAL NETWORK ENSEMBLE

... Intrusion Detection System (IDS) that monitors the traffic of computer networks and oversight of suspicious activities in a computer network is ...intrusion detection system have been carried ...

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On the application and design of artificial neural networks for motor fault detection. II.

On the application and design of artificial neural networks for motor fault detection. II.

... P of the use of artificial neural networks in motor fault detection applications. In Part I1 of this paper, we will discuss how to design an artificial neural network for[r] ...

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Motor Health Detection using Fuzzy Logic

Motor Health Detection using Fuzzy Logic

... and detection techniques, latest trends, and diagnosis methods supported by the artificial intelligence, the microprocessor, the computer, and other techniques in monitoring and protection technologies have been ...

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UNDERGROUND CABLE FAULT USING ROBOT

UNDERGROUND CABLE FAULT USING ROBOT

... acoustic detection, are greatly enhanced by the ability to make measurements along the cable, as opposed to relying on measuring parameters at the ends of the ...

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Fault Detection and Isolation Scheme for Pneumatic Actuator Using Sugeno-Type Fuzzy Inference System

Fault Detection and Isolation Scheme for Pneumatic Actuator Using Sugeno-Type Fuzzy Inference System

... both fault detection via modelling, and fault isolation via a class of nonlinear ...the fuzzy model for a fault diagnosis ...of fuzzy models is more accurate than the ...

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Implementation of Neural Network for High Impedance Fault Detection

Implementation of Neural Network for High Impedance Fault Detection

... A.M Sharaf, L.A Snider.K.Debnath [12] used negative and zero sequence components of second, third,fifth harmonic components for training the neural network. T.M. Lai, L.A. Snider, E.Lo,D.Sutanto [13-14] developed ...

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FAULT DETECTION IN ANALOG CIRCUIT USING NEURAL NETWORK

FAULT DETECTION IN ANALOG CIRCUIT USING NEURAL NETWORK

... the fault diagnosis of electronic analog circuits. The fault detection using neural network is more efficient than other technique because it has good robustness , strong learning ability and ...

5

The Implementation And Automation Of Software Reliability Assessment Model Using Neuro Fuzzy System

The Implementation And Automation Of Software Reliability Assessment Model Using Neuro Fuzzy System

... using Neural Network Based Systems and the comparison of Software Reliability Assessment Methods [20] with Neuro Fuzzy Based Systems [6][7][9] was observed by the researcher to arrive at the conclusion for ...

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Small World Stratification for Power System Fault Diagnosis.

Small World Stratification for Power System Fault Diagnosis.

... local system, especially in fast growing ...compares fault diagnosis performance by accuracy, probability of detection and false alarm ...distribution fault diagnosis as ...

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