A Fault Diagnosis Method under Varying Rotate Speed Conditions Based on Auxiliary Particle Filter
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-42051-1_53
Reference8 articles.
1. Lin, J., Qu, L.: Feature Extraction Based on Morlet Wavelet and Its Application for Mechanical Fault Diagnosis. J. Sound Vib. 234, 135–148 (2000)
2. Biswas, M., Pandey, A.K., Bluni, S.A., Samman, M.M.: Modified Chain-code Computer Vision Techniques for Interrogation of Vibration Signatures for Structural Fault Detection. J. Sound Vib. 175, 89–104 (1994)
3. Shibata, K., Takahashi, A., Shirai, T.: Fault Diagnosis of Rotating Machinery through Visualization of Sound Signals. Mech. Syst. Signal Proc. 14, 229–241 (2000)
4. Chen, Y.D., Du, R., Qu, L.S.: Fault Features of Large Rotating Machinery and Diagnosis Using Sensor Fusion. J. Sound Vib. 188, 227–242 (1995)
5. Gelle, G., Colas, M., Serviere, C.: Blind Source Separation: A Tool for Rotating Machine Monitoring by Vibration Analysis. J. Sound Vib. 248, 865–885 (2001)
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