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Fusion of Venturi and Ultrasonic Flow Meter for Enhanced Flow Meter Characteristics Using Fuzzy Logic


Affiliations
1 Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal University, India
     

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This paper proposes a technique for measurement of liquid flow using venturi and ultrasonic flow meter(UFM) to have following objectives a)to design a multi-sensor data fusion (MSDF) architecture for using both the sensors, b) improve sensitivity and linearity of venturi and ultrasonic flow meter and c) detect and diagnosis of faults in sensor if any. Fuzzy logic algorithm is used to fuse outputs of both the sensor and train the fuzzy block to produces output which has an improved characteristics in terms of both sensitivity and linearity. For identification of sensor faults a comparative test algorithm is designed. Once trained proposed technique is tested in real life, results show successful implementation of proposed objectives.

Keywords

MSDF, Fuzzy, Flow Measurement, Fault Identification.
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  • Fusion of Venturi and Ultrasonic Flow Meter for Enhanced Flow Meter Characteristics Using Fuzzy Logic

Abstract Views: 259  |  PDF Views: 0

Authors

K. V. Santhosh
Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal University, India

Abstract


This paper proposes a technique for measurement of liquid flow using venturi and ultrasonic flow meter(UFM) to have following objectives a)to design a multi-sensor data fusion (MSDF) architecture for using both the sensors, b) improve sensitivity and linearity of venturi and ultrasonic flow meter and c) detect and diagnosis of faults in sensor if any. Fuzzy logic algorithm is used to fuse outputs of both the sensor and train the fuzzy block to produces output which has an improved characteristics in terms of both sensitivity and linearity. For identification of sensor faults a comparative test algorithm is designed. Once trained proposed technique is tested in real life, results show successful implementation of proposed objectives.

Keywords


MSDF, Fuzzy, Flow Measurement, Fault Identification.