Multiple Dynamic Impact Signal Identification Method Based on Lightweight Neural Network With Acceleration Sensor-Reference-Cited by-同舟云学术

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Multiple Dynamic Impact Signal Identification Method Based on Lightweight Neural Network With Acceleration Sensor

Published:2023-08-01 Issue:15 Volume:23 Page:17289-17300
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Ma Xiang¹,Shi Huifa¹,Miao Xuyi¹,Li Qingyu²^ORCID,Wang Xiaofeng³,Ding Libo¹,Zhang He¹^ORCID,Dai Keren¹^ORCID

Affiliation:

1. ZNDY of National Defense Key Laboratory, School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China

2. North Information Control Research Academy Group Company Ltd., Nanjing, China

3. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China

Funder

Strengthening Plan Technical Field Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10198840/10179210.pdf?arnumber=10179210

Reference38 articles.

1. A Feature Extraction Method Using VMD and Improved Envelope Spectrum Entropy for Rolling Bearing Fault Diagnosis

2. Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning

3. Mean-optimized mode decomposition: An improved EMD approach for non-stationary signal processing

4. A Convolutional Neural Network of GoogLeNet Applied in Mineral Prospectivity Prediction Based on Multi-source Geoinformation

5. Dynamic load identification based on deep convolution neural network

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1. Fast-Activated Minimal Gated Unit: Lightweight Processing and Feature Recognition for Multiple Mechanical Impact Signals;Sensors;2024-08-14

2. Failure behavior of tantalum electrolytic capacitors under extreme dynamic impact: Mechanical–electrical model and microscale characterization;Nanotechnology and Precision Engineering;2024-06-05

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