By Topic

A fuzzy rule-based algorithm to improve the performance of SPC in quality systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
El-Shal, S.M. ; Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK ; Morris, A.S.

Fuzzy logic has rarely been applied to statistical process control (SPC) in quality control systems of industrial applications. Instead, control charts have extensively been utilised for monitoring the production processes. The measurement process of the control parameter involves usually random disturbance that arises from the environment or the measuring instrument itself. The control parameter may exceed the predetermined control limits of the plant due to this disturbance and generate false alarms. Consequently, it will be very difficult for the traditional charts to distinguish between real faults and false alarms. In the paper a fuzzy control algorithm has been developed. Its rules are trained to cope with false alarms and efficiently detect real faults in the SPC of the industrial processes. The design and implementation of the developed control algorithm are presented and tested

Published in:

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on  (Volume:5 )

Date of Conference:

1999