Vibration-based anomaly detection using LSTM/SVM approaches Article Swipe

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Kilian Vos , Zhongxiao Peng , Christopher Jenkins , Md Rifat Shahriar , Pietro Borghesani , Wenyi Wang ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1016/j.ymssp.2021.108752

Related Topics

Support Vector Machine

Anomaly Detection

Artificial Intelligence

Electrical Engineering

Concepts

Support vector machine Anomaly detection Artificial intelligence Outlier Computer science Vibration Pattern recognition (psychology) Fault (geology) Machine learning Condition monitoring Fault detection and isolation Feature extraction Engineering Quantum mechanics Seismology Actuator Geology Physics Electrical engineering

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.ymssp.2021.108752
OA Status: green
Cited By: 193
References: 31
Related Works: 10
OpenAlex ID: https://openalex.org/W4200225090

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DOI: https://doi.org/10.1016/j.ymssp.2021.108752

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Title: Vibration-based anomaly detection using LSTM/SVM approaches

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Type: article

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Language: en

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Publication year: 2021

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Publication date: 2021-12-28

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Authors: Kilian Vos, Zhongxiao Peng, Christopher Jenkins, Md Rifat Shahriar, Pietro Borghesani, Wenyi Wang

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Landing page: https://doi.org/10.1016/j.ymssp.2021.108752

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Concepts: Support vector machine, Anomaly detection, Artificial intelligence, Outlier, Computer science, Vibration, Pattern recognition (psychology), Fault (geology), Machine learning, Condition monitoring, Fault detection and isolation, Feature extraction, Engineering, Quantum mechanics, Seismology, Actuator, Geology, Physics, Electrical engineering

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Cited by: 193

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Citations by year (recent): 2025: 62, 2024: 67, 2023: 43, 2022: 21

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References (count): 31

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Related works (count): 10

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referenced_works_count	31
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