Monitoring the condition of a valve and linear actuator in hydraulic systems

International Journal of Fluid Power

Volumn 7, Issue 1, 2006, Pages 15-25

  Hindman, Jahmy J ^a   Burton, Richard ^b   Schoenau, Greg ^b  

^a DEERE AND COMPANY   (United States)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Actuator; Condition monitoring; Cylinder; Neural network; Valve

Indexed keywords

ACTUATORS; CONDITION MONITORING; CYLINDERS (CONTAINERS); FLUID DYNAMICS; LINEAR SYSTEMS; NEURAL NETWORKS;

FLUID POWER EQUIPMENT; MOTOR COMPONENTS; VALVE;

HYDRAULIC SERVOMECHANISMS;

EID: 33644929078     PISSN: 14399776     EISSN: None     Source Type: Journal    
DOI: 10.1080/14399776.2006.10781236     Document Type: Article

References (14)

1. Andrews J., and Henry J., 1997. A computerised fault tree construction methodology. Proc IMechE, Part E, Journal of Process Mechanical Engineering. 211, 171–183.
2. Cao, H., 2001. Parameter Estimation Using Extended Kalman Filter for the Swash Plate Assembly and the Control Piston in a Load Sensing Pump. M.Sc.Thesis. University of Saskatchewan.
3. Crowther, W., Edge, K., Burrows, C., Atkinson, R., and Woollons, D., 1998. Fault diagnosis of a hydraulic actuator circuit using neural networks-an output vector space classification approach. Proc Instn Mech Engrs Vol. 212, Part I. pp. 57–69.
4. Darling R., and Tilley D. G., 1993. Progress towards a general purpose technique for the condition monitoring of fluid power systems. Proc IMechE Conference on Aerospace Hydraulics and Systems. London, 47–55.
5. Hagan, M. T., and Menhaj, M., 1994. Training Feed Forward Networks with the Marquardt Algorithm. IEEE Transactions on Neural Networks. Vol. 5(6). pp. 989–993.
6. Hindman, J., 2001. Condition Monitoring of Valves and Actuators in a Mobile Hydraulic System Using ANN and Expert Data. M.Sc. Thesis. University of Saskatchewan.
7. Hindman, J., Burton, R., and Schoenau, G., 2002. Condition Monitoring of Fluid Power Systems:A Survey. SAE Journal of Commercial Vehicles, pp. 69–75.
8. Le, T., Watton, J., and Pham, D., 1997. An artificial neural network based approach to fault diagnosis and classification of fluid power systems. Proc Instn Mech Engrs Vol. 211, Part I. pp. 307–317.
9. Liang, A., and Sepheri, N., 2005. Hydraulic Actuator Leakage Fault Detection using Extended Kalman Filter, International Journal of Fluid Power,- FPNI, Vol. 6, Number 1, pp 41–52.
10. Rosa, A., 2001. Estimating Parameters of a Proportional Solenoid Valve using Neural Neworks. M.Sc. Thesis. University of Saskatchewan.
11. rd JHPS International Symposium on Fluid Power. Yokohama. 217–222.
12. Watton J., Lucca-Negro O., and Stewart J. C., 1994. An on-line approach to fault diagnosis of fluid power cylinder drives systems. Proc IMechE Journal Systems and Control Engineering. Vol 208, 249–262.
13. Wright, G., 2001. Parameter Estimation of a Hydraulic Proportional Valve Using Extended Kalman Filtering. M.Sc. Thesis. University of Saskatchewan.
14. Yunbo, H., Lim, G., Chua, P., and Tan, A., 2001. Monitoring the Condition of Loaded Modern Water Hydraulic Axial Piston Motor and Cylinder. Proceedings of the Fifth International Conference on Fluid Power Transmission and Control, pp. 447–451. Hangzhou, China.