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公开(公告)号:US10921777B2
公开(公告)日:2021-02-16
申请号:US16277038
申请日:2019-02-15
IPC分类号: G05B19/4065 , B23Q17/09 , G06N20/00
摘要: A method for automated condition monitoring whereby techniques of automated vibration analysis and signal processing are combined with deep learning/machine learning techniques for an enhanced system of automated anomaly detection, problem classification, and problem regression. The method may be implemented in software, firmware or hardware to run autonomously. Machines monitored and analyzed according to the disclosed method are typically found in industrial plants or commercial applications, but the disclosed invention may be applied to any rotating equipment such as motors, fans, pumps, compressors, and etc., in any environment where they are functioning.
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公开(公告)号:US20190250585A1
公开(公告)日:2019-08-15
申请号:US16277038
申请日:2019-02-15
IPC分类号: G05B19/4065 , B23Q17/09 , G06N20/00
CPC分类号: G05B19/4065 , B23Q17/0971 , G05B2219/34048 , G05B2219/37256 , G05B2219/37351 , G05B2219/37434 , G06N20/00
摘要: A method for automated condition monitoring whereby techniques of automated vibration analysis and signal processing are combined with deep learning/machine learning techniques for an enhanced system of automated anomaly detection, problem classification, and problem regression. The method may be implemented in software, firmware or hardware to run autonomously. Machines monitored and analyzed according to the disclosed method are typically found in industrial plants or commercial applications, but the disclosed invention may be applied to any rotating equipment such as motors, fans, pumps, compressors, and etc., in any environment where they are functioning.
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