Rolling element bearing diagnostics—A tutorial
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Summary
This tutorial is intended to guide the reader in the diagnostic analysis of acceleration signals from rolling element bearings, in particular in the presence of strong masking signals from other machine components such as gears.
- Type
- article
- Published
- 2011-02-01
- Cited by
- 2,624
- References
- 37
- OpenAlex
- https://openalex.org/W1964511482
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:111461094
Keywords
Cyclostationary process, Rolling-element bearing, Bearing (navigation), Computer science, Element (criminal law)
References
- Application of High-Frequency Resonance Techniques for Bearing Diagnostics in Helicopter Gearboxes
- Cyclostationarity by examples
- The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis
- Model for the vibration produced by a single point defect in a rolling element bearing
- EXTRACTION OF IMPACTING SIGNALS USING BLIND DECONVOLUTION
- Fast computation of the kurtogram for the detection of transient faults
- The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
- The wavelet transform, time-frequency localization and signal analysis
- Unsupervised noise cancellation for vibration signals: part I—evaluation of adaptive algorithms
- Differential Diagnosis of Gear and Bearing Faults
- THE RELATIONSHIP BETWEEN SPECTRAL CORRELATION AND ENVELOPE ANALYSIS IN THE DIAGNOSTICS OF BEARING FAULTS AND OTHER CYCLOSTATIONARY MACHINE SIGNALS
- A Stochastic Model for Simulation and Diagnostics of Rolling Element Bearings With Localized Faults
- Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography
- Bearing Fault Detection Using Adaptive Noise Cancelling
- Interpolation techniques for time domain averaging of gear vibration
- Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter
- Analysis of Roller/Ball Bearing Vibrations
- The spectral kurtosis: a useful tool for characterising non-stationary signals
- OPTIMISATION OF BEARING DIAGNOSTIC TECHNIQUES USING SIMULATED AND ACTUAL BEARING FAULT SIGNALS
- The synchronous (time domain) average revisited
Cited by
- Advanced techniques for aircraft bearing diagnostics
- Desarrollo de técnicas avanzadas de diagnóstico de máquinas eléctricas válidas para cualquier régimen de funcionamiento.
- Diagnostics of machines and structures: dynamic identification and damage detection
- Thermography-Assisted Bearing Condition Monitoring
- Automatic gear and bearing fault localization using vibration and acoustic signals
- The use of mechanical redundancy for fault detection in non-stationary machinery
- Experimental study of a turbo-alternator in industrial environment using cyclostationarity analysis
- Techniques for the Health Assessment of Automotive Alternators
- Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
- Artificial immune system via Euclidean Distance Minimization for anomaly detection in bearings
- ジャークセンサによる転がり軸受の損傷診断に関する研究(第2報,新しい診断法の提案と有効性の検証)
- The infogram: Entropic evidence of the signature of repetitive transients
- ジャークセンサによる転がり軸受の損傷診断に関する研究(第1報,ジャークセンサ検出による低回転時の振動信号の特長)
- WIND TURBINES' ROLLING ELEMENT BEARINGS FAULT DETECTION ENHANCEMENT USING MINIMUM ENTROPY DECONVOLUTION
- Detection And Diagnosis Of Ball Bearing Imperfections In Reaction Wheels By Micro-Vibration Test
- A FAULT DETECTION AND DIAGNOSIS STRATEGY FOR PERMANENT MAGNET BRUSHLESS DC MOTOR
- A new angular resampling algorithm for the bearing fault diagnosis under the time-varying rotational speed
- Frequency band selection based on the kurtosis of the squared envelope spectrum and its application in bearing fault diagnosis
- Statistical Incipient Fault Detection and Diagnosis with Kullback-Leibler Divergence : from Theory to Applications
- Envelope analysis with a genetic algorithm-based adaptive filter bank for bearing fault detection.
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