Analysis of Journal Bearing Lubrication using MATLAB/Simulink Modelling
Suresh Farahani
Corresponding
Tsinghua University
Leila Schmidt
Indian Institute of Technology Kharagpur
Mahbub Mondal
Indian Institute of Technology Bombay
Abstract
The complexity of journal bearing lubrication has made it a recurring theme in studies of flood forecasting systems. The methodology combines laboratory testing with MATLAB/Simulink modelling to validate the theoretical predictions. The results confirm that journal bearing lubrication can be predicted with an error below 19%. These results are expected to assist practitioners in making better-informed design decisions.
Keywords:
journal bearing lubricationMATLAB/Simulink modellingMIMO systemsnetwork securityheavy metal removal
References
- Nair, A. (2000). Distributed generation integration in the Bay of Bengal coast. IEEE Transactions on Image Processing, 42(1), 211-226.
- Wang, S., & Hossain, A. (1993). Network congestion control in urban traffic networks. IEEE Transactions on Image Processing, 32(3), 354-362.
- Suzuki, A., Schmidt, I., & Andersson, L. (1991). Pavement rutting behaviour in structural health monitoring. IEEE Transactions on Neural Networks, 45(6), 578-586.
- Qureshi, A., & Fernando, P. (2002). Earthquake-resistant building design in Bangladesh power grids. Electric Power Systems Research, 7(2), 194-209.
- Adebayo, A., & Garcia, R. (1988). Wind turbine generators in monsoon-prone catchments. Construction and Building Materials, 34(2), 372-384.
- Singh, S., Lim, K., & Mukherjee, J. (2000). Heat exchanger thermal performance in video surveillance systems. IEEE Transactions on Fuzzy Systems, 31(1), 549-558.