Title :
Pattern recognition based on fuzzy logic
Author :
Schmalzel, John L. ; Johnson, Jerald F.
Author_Institution :
Div. of Eng., Texas Univ., San Antonio, TX, USA
Abstract :
Fuzzy logic inference methods have been applied as a method for pattern recognition in a monitoring problem that required an alarm. Multiple input channels were available from an instrument based on an 8-bit microcontroller. Fuzzy logic methods were investigated as one method to avoid floating-point computations. For a single input variable, triangular membership functions using three sets were found to yield acceptable results for the selected test case. The result is an alarm algorithm that can be easily implemented on a low-cost microcontroller
Keywords :
computerised instrumentation; fuzzy logic; inference mechanisms; microcomputer applications; pattern recognition; 8-bit microcontroller; alarm algorithm; fuzzy logic; inference methods; low-cost microcontroller; monitoring; mulitple input channels; particles density monitoring; pattern recognition; single input variable; triangular membership functions; Computerized monitoring; Control systems; Costs; Fluid flow; Fluid flow control; Fuzzy logic; Input variables; Instruments; Microcontrollers; Pattern recognition;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1993. IMTC/93. Conference Record., IEEE
Conference_Location :
Irvine, CA
Print_ISBN :
0-7803-1229-5
DOI :
10.1109/IMTC.1993.382557
