MISSING SENSOR IDENTIFICATION USING NEURAL NETWORK IN CONCRETE STRUCTURE

Authors

  • M. SELVABALAN Scientist-D, Hydraulic Instrumentation Division, CWPRS , Pune, India
  • SWARUP MASKE SinhgadCollege of Engineering, Pune, India
  • DR. (MRS.) S. S. LOKHANDE

Keywords:

Artificial Neural Network,, Sensor Location, Vector Quantization

Abstract

It is crucial to quantify location of sensor in the dam, for this purport numbers of the sensor are placed at variouslocations in the dam. Central water and Power Research Station (CWPRS) provided data of Dam sensor which utilized in this project to train the Neural Network. Identification of sensor location is the arduous task if the quandary is arrived in the control room, because of Mismatching in the wire, Noise. Learning Vector Quantization method used in this project to train the network.Estimating the valuesof dam sensor using the previous data of same dam sensor.

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Published

2021-03-27

Issue

2016: ICITER

Section

Articles

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