Abstract: The study describes the implementation of a fuzzy expert system based fault diagnostic system. The system is implemented into a Field Programmable Gate Array (FPGA) chip for fast design cycle. Real time faults diagnosis of manufacturing machinery equipment through software approach lacks in processing speed and slow interfacing with physical hardware. To overcome this increasing complexity of contemporary industrial processes and a wide range of hazards, a flexible, easy and shorter development time of intelligent fault diagnosis system is reuired. Fuzzy Logic System (FLS) is employed to process imprecise and uncertain system inputs. Highly parallelism execution into FPGA enhances the processing speed of fault diagnosis system and enabling the interfacing with hardware in real-time manner. Most of the synthesization tools are unable to simplify division operator and resulted in error in the synthesization of the system. Therefore, a division module is designed to enable the synthesization. The algorithm is based on repetitive substitution and bit shifting operations. Hardware implementation of the system into FPGA board enabled shorter time to design for both fault diagnostic system and manufacturing equipment. The results showed that the proposed FPGA performance required only 176 nsec of execution time for operating clock frequency of 50 MHz and 7594 logic elements into FPGA. This expert system aims to reduce the downtime for faulty manufacturing equipment and standardize the fault diagnostic procedures. The hardware implementation of fault diagnostic expert system into FPGA board brings advantages in ease of variability in the system and high speed processing due to hardware data parallelism.
Y.T. Tan, M.S. Bhuyan, Sawal H. Md. Ali and Md. Shabiul Islam, 2014. FPGA Realization of Fault Diagnostic Manufacturing Equipment using Fuzzy Expert System. Research Journal of Applied Sciences, 9: 53-59.