Time Series Classification within a Rotating Detonation Engine through Deep Convolutional Neural Networks applied to High-Speed Pressure Data

High Speed ◽

Pressure Data ◽

Rotating Detonation Engine ◽

Detonation Engine ◽

Rotating Detonation

Exploiting multi-channels deep convolutional neural networks for multivariate time series classification

Frontiers of Computer Science ◽

10.1007/s11704-015-4478-2 ◽

2015 ◽

Vol 10 (1) ◽

pp. 96-112 ◽

Cited By ~ 72

Author(s):

Yi Zheng ◽

Qi Liu ◽

Enhong Chen ◽

Yong Ge ◽

J. Leon Zhao

Keyword(s):

Neural Networks ◽

Time Series ◽

Multivariate Time Series ◽

Deep Convolutional Neural Networks

Deep convolutional neural networks for multi-scale time-series classification and application to tokamak disruption prediction using raw, high temporal resolution diagnostic data

Physics of Plasmas ◽

10.1063/1.5144458 ◽

2020 ◽

Vol 27 (6) ◽

pp. 062510

Author(s):

R. M. Churchill ◽

B. Tobias ◽

Y. Zhu ◽

Keyword(s):

Neural Networks ◽

Time Series ◽

Temporal Resolution ◽

High Temporal Resolution ◽

Diagnostic Data ◽

Multi Scale

Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks

Web-Age Information Management - Lecture Notes in Computer Science ◽

10.1007/978-3-319-08010-9_33 ◽

2014 ◽

pp. 298-310 ◽

Cited By ~ 152

Author(s):

Yi Zheng ◽

Qi Liu ◽

Enhong Chen ◽

Yong Ge ◽

J. Leon Zhao

Keyword(s):

Neural Networks ◽

Time Series ◽

Deep Convolutional Neural Networks

Deep convolutional neural networks for long time series classification

10.2172/1668820 ◽

2019 ◽

Author(s):

R. Churchill

Keyword(s):

Neural Networks ◽

Time Series ◽

Long Time Series ◽

Long Time

Nonlinear time series classification using bispectrum‐based deep convolutional neural networks

Applied Stochastic Models in Business and Industry ◽

10.1002/asmb.2536 ◽

2020 ◽

Vol 36 (5) ◽

pp. 877-890

Author(s):

Paul A. Parker ◽

Scott H. Holan ◽

Nalini Ravishanker

Keyword(s):

Neural Networks ◽

Time Series ◽

Nonlinear Time Series ◽

Deep Convolutional Neural Networks

Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification

Information Sciences ◽

10.1016/j.ins.2020.03.039 ◽

2020 ◽

Vol 524 ◽

pp. 1-14 ◽

Cited By ~ 2

Author(s):

Diego Cabrera ◽

Fernando Sancho ◽

Mariela Cerrada ◽

René-Vinicio Sánchez ◽

Chuan Li

Keyword(s):

Neural Networks ◽

Time Series ◽

Knowledge Extraction ◽

Stationary Time Series ◽

Stationary Time

Lagged encoding for image‐based time series classification using convolutional neural networks

Statistical Analysis and Data Mining The ASA Data Science Journal ◽

10.1002/sam.11455 ◽

2020 ◽

Vol 13 (3) ◽

pp. 245-260

Author(s):

Agnieszka Jastrzebska

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Classification

High-Speed Diagnostics in a Natural Gas–Air Rotating Detonation Engine

Journal of Propulsion and Power ◽

10.2514/1.b37740 ◽

2020 ◽

Vol 36 (4) ◽

pp. 498-507 ◽

Cited By ~ 4

Author(s):

Christopher L. Journell ◽

Rohan M. Gejji ◽

Ian V. Walters ◽

Aaron I. Lemcherfi ◽

Carson D. Slabaugh ◽

...

Keyword(s):

Natural Gas ◽

High Speed ◽

Rotating Detonation Engine ◽

Detonation Engine ◽

Rotating Detonation

Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach

Applied Soft Computing ◽

10.1016/j.asoc.2018.04.024 ◽

2018 ◽

Vol 70 ◽

pp. 525-538 ◽

Cited By ~ 59

Author(s):

Omer Berat Sezer ◽

Ahmet Murat Ozbayoglu

Keyword(s):

Neural Networks ◽

Time Series ◽

Financial Trading ◽

Image Conversion

High-speed 3D measurements at 20,000Hz with deep convolutional neural networks

Optical Metrology and Inspection for Industrial Applications VI ◽

10.1117/12.2537914 ◽

2019 ◽

Author(s):

Shijie Feng ◽

Chao Zuo ◽

Qian Chen

Keyword(s):

Neural Networks ◽

High Speed ◽

3D Measurements