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Study on Interference Suppression Algorithms for Electronic Noses: A Review.

Zhifang Liang1, Fengchun Tian2, Simon X Yang3

  • 1College of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongwen Road 2nd, Nan'an District, Chongqing 400065, China. liangzf@cqupt.edu.cn.

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Summary
This summary is machine-generated.

Electronic noses (e-noses) are susceptible to interference, degrading performance. This review covers interference sources and highlights advanced nonlinear methods, like transfer learning, for effective suppression in e-nose systems.

Keywords:
electronic noseinterferencesuppression

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Area of Science:

  • Analytical Chemistry
  • Sensor Technology

Background:

  • Electronic noses (e-noses) utilize gas sensor arrays and pattern recognition for gas detection.
  • Sensor sensitivity to interferences significantly impacts e-nose accuracy and reliability.
  • Interference effects necessitate the development of robust suppression techniques.

Purpose of the Study:

  • To review and categorize interference sources in e-nose systems.
  • To survey recent advancements in e-nose interference suppression techniques.
  • To analyze existing suppression methods based on interference causes.

Main Methods:

  • Classification of interferences into operating condition changes and hardware failures.
  • Review of existing literature on e-nose interference suppression.
  • Analysis of nonlinear methods, including transfer learning and adaptive techniques.

Main Results:

  • Interference sources are primarily linked to operational environment shifts and hardware malfunctions.
  • Nonlinear methods demonstrate significant efficacy in mitigating uncertain and unstable interferences.
  • Transfer learning and adaptive approaches show promise for enhanced e-nose stability.

Conclusions:

  • Effective interference suppression is crucial for reliable e-nose operation.
  • Nonlinear and adaptive strategies offer superior performance for complex interference scenarios.
  • Further research into advanced suppression techniques will improve e-nose applicability.