Fault Detection based on Deep Learning for Digital VLSI Circuits

Procedia Computer Science ◽

10.1016/j.procs.2021.10.065 ◽

2021 ◽

Vol 194 ◽

pp. 122-131

Author(s):

Lamya Gaber ◽

Aziza I. Hussein ◽

Mohammed Moness

Keyword(s):

Deep Learning ◽

Fault Detection ◽

Vlsi Circuits ◽

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Deep Learning through LSTM Classification and Regression for Transmission Line Fault Detection, Diagnosis and Location in Large-Scale Multi-Machine Power Systems

Measurement ◽

10.1016/j.measurement.2021.109330 ◽

2021 ◽

pp. 109330

Author(s):

Soufiane Belagoune ◽

Noureddine Bali ◽

Azzeddine Bakdi ◽

Boussaadia Baadji ◽

Karim Atif

Keyword(s):

Deep Learning ◽

Fault Detection ◽

Power Systems ◽

Transmission Line ◽

Large Scale ◽

Classification And Regression

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Research on Fault Detection Method of Infrared Thermal Imaging for Power Equipment based on Deep Learning

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/714/4/042045 ◽

2021 ◽

Vol 714 (4) ◽

pp. 042045

Author(s):

Cheng Li ◽

Zixuan Yu ◽

Mingsong Zhuo

Keyword(s):

Deep Learning ◽

Fault Detection ◽

Thermal Imaging ◽

Detection Method ◽

Power Equipment ◽

Infrared Thermal Imaging

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A physics-informed deep learning approach for bearing fault detection

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2021.104295 ◽

2021 ◽

Vol 103 ◽

pp. 104295

Author(s):

Sheng Shen ◽

Hao Lu ◽

Mohammadkazem Sadoughi ◽

Chao Hu ◽

Venkat Nemani ◽

...

Keyword(s):

Deep Learning ◽

Fault Detection ◽

Learning Approach ◽

Bearing Fault ◽

Bearing Fault Detection

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A static noise impact analysis methodology for evaluating transient error effects in digital VLSI circuits

IEEE International Conference on Test, 2005. ◽

10.1109/test.2005.1584071 ◽

2006 ◽

Author(s):

Chong Zhao ◽

Xiaoliang Bai ◽

S. Dey

Keyword(s):

Impact Analysis ◽

Vlsi Circuits ◽

Digital Vlsi ◽

Analysis Methodology ◽

Noise Impact ◽

Transient Error ◽

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Wavelet based fault detection in analog VLSI circuits using neural networks

Applied Soft Computing ◽

10.1016/j.asoc.2007.10.023 ◽

2008 ◽

Vol 8 (4) ◽

pp. 1592-1598 ◽

Author(s):

P. Kalpana ◽

K. Gunavathi

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Analog Vlsi ◽

Vlsi Circuits ◽

Analog Vlsi Circuits

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Deep Learning-based Fault Detection, Classification, and Locating in Shipboard Power Systems

10.1109/ests49166.2021.9512342 ◽

2021 ◽

Author(s):

Soroush Senemmar ◽

Jie Zhang

Keyword(s):

Deep Learning ◽

Fault Detection ◽

Power Systems ◽

Shipboard Power Systems ◽

Shipboard Power

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Power bus maximum voltage drop in digital VLSI circuits

Proceedings IEEE 2000 First International Symposium on Quality Electronic Design (Cat. No. PR00525) ◽

10.1109/isqed.2000.838881 ◽

2002 ◽

Author(s):

G. Bai ◽

S. Bobba ◽

I.N. Hajj

Keyword(s):

Voltage Drop ◽

Vlsi Circuits ◽

Digital Vlsi ◽

Power Bus ◽

Maximum Voltage

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Worm gear condition monitoring and fault detection from thermal images via deep learning method

Eksploatacja i Niezawodnosc - Maintenance and Reliability ◽

10.17531/ein.2020.3.18 ◽

2020 ◽

Vol 22 (3) ◽

pp. 544-556

Author(s):

Yunus Emre Karabacak ◽

Nurhan GÜRSEL ÖZMEN ◽

Levent GÜMÜŞEL

Keyword(s):

Deep Learning ◽

Fault Detection ◽

Condition Monitoring ◽

Worm Gear ◽

Learning Method ◽

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Deep Learning Methods for Solar Fault Detection and Classification: A Review

Information Sciences Letters ◽

10.18576/isl/100213 ◽

2021 ◽

Vol 10 (2) ◽

pp. 323-331

Keyword(s):

Deep Learning ◽

Fault Detection ◽

Learning Methods ◽

Fault Detection And Classification

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WORKFLOWFOR TRAINING AND SERVING DEEP LEARNING MODELS FOR IMAGE CLASSIFICATION AND OBJECT DETECTION - APPLICATION TO FAULT DETECTION ON ELECTRIC POLES

10.1049/icp.2021.1557 ◽

2021 ◽

Author(s):

C. Coello ◽

R. Sanchez ◽

S. de Lange ◽

J. Halvorsen ◽

M. Bertani-Økland ◽

...

Keyword(s):

Deep Learning ◽

Fault Detection ◽

Object Detection ◽

Image Classification ◽

Learning Models

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