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A Prediction Method for the Crack Propagation Risk Level of Rolling Bearings Based on the Finite Element-Neural Network Decoupling Framework.

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Title: A Prediction Method for the Crack Propagation Risk Level of Rolling Bearings Based on the Finite Element-Neural Network Decoupling Framework.
Authors: Liu, Hongbin1,2, Liu, Hanjun1,2, L140698401@163.com, Zhou, Changwei1,2, Li, Jun1,2, He, Tao1,2
Source: Iranian Journal of Science & Technology: Transactions of Mechanical Engineering; Jun2026, Vol. 50 Issue 3, p951-967, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194163281
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Prediction Method for the Crack Propagation Risk Level of Rolling Bearings Based on the Finite Element-Neural Network Decoupling Framework.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194163281
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      – Type: doi
        Value: 10.1007/s40997-026-00963-w
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      – Code: eng
        Text: English
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        PageCount: 17
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      – TitleFull: A Prediction Method for the Crack Propagation Risk Level of Rolling Bearings Based on the Finite Element-Neural Network Decoupling Framework.
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            NameFull: Liu, Hongbin
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            NameFull: Liu, Hanjun
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            NameFull: Zhou, Changwei
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 50
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