Robotics & Machine Learning Daily News2024,Issue(Jun.14) :72-73.

Investigators at China Agricultural University Report Findings in Support Vector Machines (Multi-cavitation States Identification of a Sewage Pump Using Ceemdan and Boa-svm)

中国农业大学的研究人员报告了支持向量机的发现(用Ceemdan和boa-svm识别污水泵的多空化状态)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :72-73.

Investigators at China Agricultural University Report Findings in Support Vector Machines (Multi-cavitation States Identification of a Sewage Pump Using Ceemdan and Boa-svm)

中国农业大学的研究人员报告了支持向量机的发现(用Ceemdan和boa-svm识别污水泵的多空化状态)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于马学习-支持向量机的新报告。根据NewsRx记者从中华人民共和国北宁发回的消息,研究称:“这项研究引入了一种新的方法来识别污水处理中至关重要的污水泵中的多种空化状态。空化是由水蒸气气泡的形成和破裂引起的,它阻碍了水泵的效率,并诱发了振动。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning - Support Vector Machines. According to news originating from Bei ing, People’s Republic of China, by NewsRx correspondents, research stated, “This study introduces a novel approach to identify multiple cavitation states in s ewage pumps, crucial for urban sewage treatment. Cavitation, caused by the formation and collapse of bubbles of water vapor, hampers pump efficiency and induces vibration.”

Key words

Beijing/People’s Republic of China/Asia/Machine Learning/Support Vector Machines/China Agricultural University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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