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Improved bearing sensing for prognostics: From vibrations to optical fibres
M. Khmelnitsky
,
J. Bortman
, U. Ben-Simon
, R. Klein
, M. Tur
Department of Mechanical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Scopus citations
Overview
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Dive into the research topics of 'Improved bearing sensing for prognostics: From vibrations to optical fibres'. Together they form a unique fingerprint.
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Keyphrases
Accelerometer
100%
Micro-electro-mechanical Systems
50%
Small Dimension
50%
Early Signs
50%
Spall
50%
Measured Signal
50%
Irreversible Damage
50%
Low Signal-to-noise Ratio
50%
Vibration Signal
50%
Rotating Machinery
50%
Sensor Type
50%
Fault Severity
50%
Bearing Damage
50%
Maintenance Decision
50%
Local Sensing
50%
Bearing Condition Monitoring
50%
Bearing Vibration Signal
50%
Early Defect
50%
Maintenance Optimization
50%
Bearing Prognostics
50%
Incipient Stage
50%
Transmission Routes
50%
New Options
50%
Improved Signal-to-noise Ratio
50%
Rotating Components
50%
Transmission Path Effect
50%
Engineering
Signal-to-Noise Ratio
100%
Optical Fiber
100%
Micro-Electro-Mechanical System
50%
Measured Signal
50%
Rotating Machinery
50%
Classical Method
50%
Bearing Signal
50%
vibration signal
50%
Material Science
Fiber Optics
100%
Signal-to-Noise Ratio
100%
Accelerometer
100%
Microelectromechanical System
50%