TY  - JOUR
T1  - FPGA Realization of Fault Diagnostic Manufacturing Equipment using Fuzzy Expert System
AU - Islam, Md. Shabiul AU - Tan, Y.T. AU - Bhuyan, M.S. AU - Ali, Sawal H. Md. 
JO  - Research Journal of Applied Sciences
VL  - 9
IS  - 1
SP  - 53
EP  - 59
PY  - 2014
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2014.53.59
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2014.53.59
KW  - Fuzzy logic
KW  -fault diagnosis
KW  -expert system
KW  -VLSI
KW  -FPGA
KW  -synthesis
KW  -
KW  -HDL
AB  - 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.
ER  -