Fuzzy Petri Nets Efficiency in Hardware Implementation; Evidence from an Intelligent Fault Diagnostic System
|Research Area:||Volume 6,Issue 1, Jan. 2017||Year:||2017|
|Type of Publication:||Article||Keywords:||Vectorized Calculation, Fuzzy Petri Net, Fault Diagnostic, Hardware Implementation|
This paper aims to illustrate the capability and performance of a recently introduced Fuzzy Petri Nets (FPN) in rapid hardware implementation using vectorization of complex calculations in Fuzzy systems. Indeed, using FPN and vectorization makes most processors able to handle a complicated task. To show the efficiency of this method, a real-time fault diagnostic system was developed using FPN to identify the possible faults in a power distribution transformers based on three acquired dynamic parameters in a real plant. Simulations have been proposed in MATLAB environment and finally it has been implemented on an ARM based embedded system. This system can be extended to be widely used in several applications including Fuzzy controllers and Fuzzy classifiers as well.
Full text: IJEIR-2189-FINAL.pdf