Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review
Top Cited Papers
- 30 January 2018
- journal article
- research article
- Published by Springer Nature in The International Journal of Advanced Manufacturing Technology
- Vol. 96 (1-4), 803-819
- https://doi.org/10.1007/s00170-017-1474-8
Abstract
No abstract availableKeywords
Funding Information
- Natural Science Foundation of China (51675403)
- National Natural Science Foundation of China (51275381)
- National Research Foundation (IFR160118156967 and RDYR160404161474)
This publication has 117 references indexed in Scilit:
- A review on empirical mode decomposition in fault diagnosis of rotating machineryMechanical Systems and Signal Processing, 2012
- A fault diagnosis scheme of rolling element bearing based on near-field acoustic holography and gray level co-occurrence matrixJournal of Sound and Vibration, 2012
- Therapeutic potential of cladribine in combination with STAT3 inhibitor against multiple myelomaBMC Cancer, 2011
- The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machineryMechanical Systems and Signal Processing, 2011
- Application of an improved kurtogram method for fault diagnosis of rolling element bearingsMechanical Systems and Signal Processing, 2011
- Ultrasonic Measurement of Rolling Bearing Lubrication Using Piezoelectric Thin FilmsJournal of Tribology, 2008
- Extremely sensitive trace gas analysis with modern photoacoustic spectroscopyVibrational Spectroscopy, 2006
- Dynamic Prognostic Prediction of Defect Propagation on Rolling Element BearingsTribology Transactions, 1999
- On-line prediction of surface finish and dimensional deviation in turning using neural network based sensor fusionInternational Journal of Machine Tools and Manufacture, 1997
- In-process Evaluation of the Overall Machining Performance in Finish-Turning via Single Data SourceJournal of Manufacturing Science and Engineering, 1997