Automated fault detection and classification of etch systems using modular neural networks

Mapping Intimacies ◽

10.1117/12.536870 ◽

2004 ◽

Cited By ~ 3

Author(s):

Sang J. Hong ◽

Gary S. May ◽

John Yamartino ◽

Andrew Skumanich

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Modular Neural Networks ◽

Fault Detection And Classification

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Fault Detection and Classification of Power System Busbar using Artificial Neural Network

2019 IEEE International Conference on Power, Electrical, and Electronics and Industrial Applications (PEEIACON) ◽

10.1109/peeiacon48840.2019.9071944 ◽

2019 ◽

Author(s):

Adrita Anika ◽

Md. Junaed-Al-Hossain ◽

Sk. Hasibul Alam ◽

Nahid-Al-Masood

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Detection ◽

Power System ◽

Fault Detection And Classification ◽

Artificial Neural

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Fault Detection and Classification of Multi-location and Evolving Faults in Double-Circuit Transmission Line Using ANN

Soft Computing in Data Analytics - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-13-0514-6_31 ◽

2018 ◽

pp. 307-317

Author(s):

V. Ashok ◽

A. Yadav ◽

Vinod Kumar Naik

Keyword(s):

Fault Detection ◽

Transmission Line ◽

Fault Detection And Classification

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Fault detection and classification of analog circuits by means of fuzzy logic-based techniques

Proceedings of ISCAS'95 - International Symposium on Circuits and Systems ◽

10.1109/iscas.1995.523770 ◽

2002 ◽

Cited By ~ 3

Author(s):

A. Torralba ◽

J. Chavez ◽

L.G. Franquelo

Keyword(s):

Fuzzy Logic ◽

Fault Detection ◽

Analog Circuits ◽

Fault Detection And Classification

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Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural Networks

Artificial Neural Networks — ICANN 2001 - Lecture Notes in Computer Science ◽

10.1007/3-540-44668-0_84 ◽

2001 ◽

pp. 601-608 ◽

Cited By ~ 2

Author(s):

Bao-Liang Lu ◽

Jonghan Shin ◽

Michinori Ichikawa

Keyword(s):

Neural Networks ◽

Massively Parallel ◽

Eeg Signals ◽

Modular Neural Networks

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Induction Machine Fault Detection and Classification Using Non-Parametric, Statistical-Frequency Features and Shallow Neural Networks

IEEE Transactions on Energy Conversion ◽

10.1109/tec.2020.3032532 ◽

2020 ◽

pp. 1-1 ◽

Cited By ~ 1

Author(s):

Rahul R. Kumar ◽

Giansalvo Cirrincione ◽

Maurizio Cirrincione ◽

Andrea Tortella ◽

Mauro Andriollo

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Induction Machine ◽

Fault Detection And Classification ◽

Statistical Frequency ◽

Machine Fault ◽

Frequency Features ◽

Non Parametric

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A support vector clustering-based probabilistic method for unsupervised fault detection and classification of complex chemical processes using unlabeled data

AIChE Journal ◽

10.1002/aic.13816 ◽

2012 ◽

Vol 59 (2) ◽

pp. 407-419 ◽

Cited By ~ 42

Author(s):

Jie Yu

Keyword(s):

Fault Detection ◽

Probabilistic Method ◽

Chemical Processes ◽

Unlabeled Data ◽

Support Vector ◽

Complex Chemical ◽

Support Vector Clustering ◽

Fault Detection And Classification ◽

Vector Clustering

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CLASSIFICATION OF WAVELET MAP PATTERNS USING MULTI-LAYER NEURAL NETWORKS FOR GEAR FAULT DETECTION

Mechanical Systems and Signal Processing ◽

10.1006/mssp.2002.1488 ◽

2002 ◽

Vol 16 (4) ◽

pp. 695-704 ◽

Cited By ~ 32

Author(s):

D. CHEN ◽

W.J. WANG

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Gear Fault

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Fault Detection and Classification of Time Series Data Using Support Vector Regression and Inception-v3

ELHSS-18,IETCAS-18,EABNS-18 July 23-25, 2018 Kuala Lumpur (Malaysia) ◽

10.17758/urst2.u0718109 ◽

2018 ◽

Keyword(s):

Time Series ◽

Fault Detection ◽

Support Vector Regression ◽

Time Series Data ◽

Series Data ◽

Support Vector ◽

Fault Detection And Classification

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Modular neural networks for MAP classification of time series and the partition algorithm

IEEE Transactions on Neural Networks ◽

10.1109/72.478393 ◽

1996 ◽

Vol 7 (1) ◽

pp. 73-86 ◽

Cited By ~ 24

Author(s):

V. Petridis ◽

A. Kehagias

Keyword(s):

Neural Networks ◽

Time Series ◽

Modular Neural Networks

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Fault detection and classification approaches in transmission lines using artificial neural networks

MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference ◽

10.1109/melcon.2014.6820588 ◽

2014 ◽

Cited By ~ 14

Author(s):

Moez Ben Hessine ◽

Houda Jouini ◽

Souad Chebbi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Transmission Lines ◽

Fault Detection And Classification ◽

Artificial Neural

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