Multi Sensor Data Fusion

  • Unique Paper ID: 169773
  • Volume: 11
  • Issue: 6
  • PageNo: 1512-1514
  • Abstract:
  • The subject of multisensor data fusion technology has seen a great deal of research due to the quick growth of precision manufacturing technology. The aim of this research is to improve the linear range of thermocouples and resistance temperature detectors. Each sensor measures a particular parameter, such as temperature, separately in a multisensor system. Subsequently, the system employs pertinent signal processing to amalgamate every separate measurement into an all-encompassing collection of measurement outcomes. This project aims to provide an overview of multisensor and data fusion technology and how it is used in precision monitoring systems. The increased range of thermocouples and resistance temperature detectors exhibit improved linearity as a result of the proposed technique's outcome. A multi-sensor data fusion model for temperature measurement is used in this study. The goal of the proposed project is to create a temperature measuring device that can: (a) provide accurate measurements even in the event of a malfunctioning sensor; and (b) have better performance features including sensitivity and linearity. The method is built on the foundation of multi-sensor data fusion, which includes resistance temperature detectors and thermocouples among other types of sensors. Every sensor's output is transformed into a standard representation format. A large amount of data is used to test the functionality of the implemented laboratory model. Comparing the result to a system with a single sensor, the suggested technique was able to provide a more linear and sensitive output.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 6
  • PageNo: 1512-1514

Multi Sensor Data Fusion

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