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A Multidimensional Health Indicator Based on Autoregressive Power Spectral Density for Machine Condition Monitoring.

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第一作者： Roberto,Diversi

第一单位： Department of Electrical, Electronic and Information Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy.

作者： Roberto,Diversi ^[1] ; Nicolò,Speciale ^[1]

作者单位： Department of Electrical, Electronic and Information Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy. ^[1]

关键词 Fourier synchrosqueezing transform autoregressive modeling condition monitoring data-driven methods fault diagnosis multidimensional health indicator signal processing spectral distances

DOI 10.3390/s24154782

PMID 39123829

发布时间 2024-08-12

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Sensors (Basel, Switzerland)

2024年24卷15期

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A Multidimensional Health Indicator Based on Autoregressive Power Spectral Density for Machine Condition Monitoring.

Sensors (Basel, Switzerland)

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A Multidimensional Health Indicator Based on Autoregressive Power Spectral Density for Machine Condition Monitoring.

Sensors (Basel, Switzerland)

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Sensors (Basel, Switzerland)

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