JP2023535721A5 - - Google Patents

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Publication number
JP2023535721A5
JP2023535721A5 JP2023504511A JP2023504511A JP2023535721A5 JP 2023535721 A5 JP2023535721 A5 JP 2023535721A5 JP 2023504511 A JP2023504511 A JP 2023504511A JP 2023504511 A JP2023504511 A JP 2023504511A JP 2023535721 A5 JP2023535721 A5 JP 2023535721A5
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Japan
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trace data
anomaly
machine learning
learning model
root cause
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JP2023504511A
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English (en)
Japanese (ja)
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JP7703011B2 (ja
JP2023535721A (ja
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Priority claimed from PCT/US2021/042842 external-priority patent/WO2022020642A1/en
Publication of JP2023535721A publication Critical patent/JP2023535721A/ja
Publication of JP2023535721A5 publication Critical patent/JP2023535721A5/ja
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Publication of JP7703011B2 publication Critical patent/JP7703011B2/ja
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JP2023504511A 2020-07-23 2021-07-22 プロセストレースからの装置故障モードの予測 Active JP7703011B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US202063055893P 2020-07-23 2020-07-23
US63/055,893 2020-07-23
PCT/US2021/042842 WO2022020642A1 (en) 2020-07-23 2021-07-22 Predicting equipment fail mode from process trace

Publications (3)

Publication Number Publication Date
JP2023535721A JP2023535721A (ja) 2023-08-21
JP2023535721A5 true JP2023535721A5 (https=) 2024-07-26
JP7703011B2 JP7703011B2 (ja) 2025-07-04

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JP2023504511A Active JP7703011B2 (ja) 2020-07-23 2021-07-22 プロセストレースからの装置故障モードの予測

Country Status (7)

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US (1) US11640328B2 (https=)
EP (1) EP4162395A4 (https=)
JP (1) JP7703011B2 (https=)
KR (1) KR20230042041A (https=)
CN (1) CN116113942A (https=)
TW (1) TWI887455B (https=)
WO (1) WO2022020642A1 (https=)

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