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基于健康状态分层与混合自编码模型的 倍捻机气圈转速异常检测.

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Title: 基于健康状态分层与混合自编码模型的 倍捻机气圈转速异常检测.
Alternate Title: Anomaly detection of two-for-one twister yarn balloon speeds based on health stratification and a hybrid autoencoder model.
Authors: 吴梓豪1, 戴 宁2 zstudn@zstu.edu.cn, 沈春娅3, 胡旭东2, 汝 欣2
Source: Advanced Textile Technology. May2026, Vol. 34 Issue 5, p132-143. 12p.
Database: Textile Technology Complete
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  Data: 基于健康状态分层与混合自编码模型的 倍捻机气圈转速异常检测.
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  Data: Anomaly detection of two-for-one twister yarn balloon speeds based on health stratification and a hybrid autoencoder model.
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  Data: <searchLink fieldCode="JN" term="%22Advanced+Textile+Technology%22">Advanced Textile Technology</searchLink>. May2026, Vol. 34 Issue 5, p132-143. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=teh&AN=193858116
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      – Code: chi
        Text: Chinese
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        StartPage: 132
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      – TitleFull: 基于健康状态分层与混合自编码模型的 倍捻机气圈转速异常检测.
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            NameFull: 吴梓豪
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            NameFull: 戴 宁
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            NameFull: 沈春娅
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            NameFull: 胡旭东
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              Text: May2026
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              Y: 2026
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