Chrissanthi Angeli and Avraam Chatzinikolaou
Modelling , Simulation , Fluid power systems, Fault detection
The development of simulation based diagnostic methods for engineering systems is of main importance for the modern production technology especially for the case of real-time detection of faults. This paper proposes an intelligent diagnostic approach for dynamic fluid power systems that will be implemented in web-based environment where simulation results and real-time data are compared on-line and the results are evaluated for the fault detection process. The experimental results are promising and the system could offers benefits for the remote fault diagnosis process.
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