Adaptive Band Extraction Based on Low Rank Approximated Nonnegative Tucker Decomposition for Anti-Friction Bearing Faults Diagnosis Using Measured Vibration Data

Haobin Wen; Long Zhang; Jyoti Sinha

doi:10.3390/machines10080694

Adaptive Band Extraction Based on Low Rank Approximated Nonnegative Tucker Decomposition for Anti-Friction Bearing Faults Diagnosis Using Measured Vibration Data

EEE - Academic & Research

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	694
Journal	Machines
Volume	10
Issue number	8
DOIs	https://doi.org/10.3390/machines10080694
Publication status	Published - 15 Aug 2022

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10.3390/machines10080694

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title = "Adaptive Band Extraction Based on Low Rank Approximated Nonnegative Tucker Decomposition for Anti-Friction Bearing Faults Diagnosis Using Measured Vibration Data",

author = "Haobin Wen and Long Zhang and Jyoti Sinha",

year = "2022",

month = aug,

day = "15",

doi = "10.3390/machines10080694",

language = "English",

volume = "10",

pages = "694",

journal = "Machines",

issn = "2075-1702",

publisher = "MDPI",

number = "8",

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T1 - Adaptive Band Extraction Based on Low Rank Approximated Nonnegative Tucker Decomposition for Anti-Friction Bearing Faults Diagnosis Using Measured Vibration Data

AU - Wen, Haobin

AU - Zhang, Long

AU - Sinha, Jyoti

PY - 2022/8/15

Y1 - 2022/8/15

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DO - 10.3390/machines10080694

M3 - Article

SN - 2075-1702

VL - 10

SP - 694

JO - Machines

JF - Machines

IS - 8

ER -