講講 座 座データサイエンス･機械学習･統計処理に関する基礎と応用３．振動データの特徴量抽出と機械学習

Noriyasu Oguma

doi:10.2472/jsms.73.751

講^講座 ^座データサイエンス･機械学習･統計処理に関する基礎と応用３．振動データの特徴量抽出と機械学習

Translated title of the contribution: Fundamentals and Applications Related to Data Science, Machine Learning, and Statistical Processing Ⅲ: Feature Extraction and Machine Learning from Vibration Data

Noriyasu Oguma^*

^*Corresponding author for this work

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

Translated title of the contribution	Fundamentals and Applications Related to Data Science, Machine Learning, and Statistical Processing Ⅲ: Feature Extraction and Machine Learning from Vibration Data
Original language	Japanese
Pages (from-to)	751-755
Number of pages	5
Journal	Zairyo/Journal of the Society of Materials Science, Japan
Volume	73
Issue number	9
DOIs	https://doi.org/10.2472/jsms.73.751
State	Published - 2024/09

ASJC Scopus subject areas

General Materials Science
Condensed Matter Physics
Mechanics of Materials
Mechanical Engineering

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10.2472/jsms.73.751

Cite this

@article{c0e984dc3fac4c7d8bc73acfcb2ddec7,

title = "講講座座データサイエンス･機械学習･統計処理に関する基礎と応用３．振動データの特徴量抽出と機械学習",

keywords = "Machine learning, Principal component analysis, T-distributed stochastic neighbor embedding, Vibration signal",

author = "Noriyasu Oguma",

year = "2024",

month = sep,

doi = "10.2472/jsms.73.751",

language = "日本",

volume = "73",

pages = "751--755",

journal = "Zairyo/Journal of the Society of Materials Science, Japan",

issn = "0514-5163",

publisher = "Society of Materials Science Japan",

number = "9",

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AU - Oguma, Noriyasu

PY - 2024/9

Y1 - 2024/9

KW - Machine learning

KW - Principal component analysis

KW - T-distributed stochastic neighbor embedding

KW - Vibration signal

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U2 - 10.2472/jsms.73.751

DO - 10.2472/jsms.73.751

M3 - 学術論文

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SN - 0514-5163

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SP - 751

EP - 755

JO - Zairyo/Journal of the Society of Materials Science, Japan

JF - Zairyo/Journal of the Society of Materials Science, Japan

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講講 座 座データサイエンス･機械学習･統計処理に関する基礎と応用３．振動データの特徴量抽出と機械学習

ASJC Scopus subject areas

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Cite this

講^講座 ^座データサイエンス･機械学習･統計処理に関する基礎と応用３．振動データの特徴量抽出と機械学習