BP network model for nonlinear oil-film force on hydrodynamic bearing

Mocaxue Xuebao/Tribology

Volumn 22, Issue 3, 2002, Pages 226-231

  Qin, Ping ^a   Meng, Zhi Qiang ^a   Zhu, Jun ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

BP neural networks; Hydrodynamic bearing; Nonlinear oil film force

Indexed keywords

DATABASE SYSTEMS; FILMS; FINITE ELEMENT METHOD; HYDRODYNAMICS; NEURAL NETWORKS; ROTORS;

HYDRODYNAMIC BEARING; NONLINEAR OIL FILM FORCE;

BEARINGS (MACHINE PARTS);

EID: 0036587951     PISSN: 10040595     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. Bernard J, Hamrock. Fundamentals of fluid film lubrication[M]. New York: McGraw-Hill Inc, 1994.
2. Earles L L, Palazzolo A B, Armentrout R W. A finite element approach to pad flexibility effects in tilt pad journal bearings: Parts I and II[J]. ASME Journal of Tribology, 1990, 112(2):169-182.
3. Wang Wen, Zhang Zhiming. Calculation of journal dynamic locus aided by database of non-stationary oil film force of single bush segment[C]. Asia-Pacific Vibration Conference'93, Japan, 1993.365-369.
4. MENG Z Q, XU H, Zhu J. A Database Method of Nonlinear Oil Film Force Based on Poincare Transformation[J]. Tribology, 2001, 21(3):223-227.
5. Cybenko G. Approximation by Superposition of Sigmoidal Functions[J]. Mathematics of Control, Signals and Systems, 1989, 2:303-314.
6. Mikami M, Kumagai M, Uno S. Static and Dynamic Characteristics of Rolling-pad Journal Bearings in Super-laminar Flow Regime[J]. ASME Journal of Tribology, 1988, 112(1):73-79.
7. CONG S. Theory and Application of Neural Networks Based on MATLAB[M]. Hefei: University of Science and Technology of China Press, 1998.