Synchronous identification and successive detection of multiple traces with tunable coupling oscillators

Cao Xia, Dong F. Wang, Jie Song, Takahito Ono, Toshihiro Itoh, Ryutaro Maeda, Masayoshi Esashi

Research output: Contribution to journalArticlepeer-review

Abstract

Trace identification and detection of toxic, flammable, explosive substances, pollen allergens, as well as biological viruses is crucial for public health and safety, chemic production, and scientific research, etc. A single trace is detectable via various nonlinear resonance phenomena, while quantitative detection of two traces is physically limited by the trace ratio even with localized oscillators. We have discovered that, in internal resonance systems, response amplitude of any coupled mode physically reflects multi-modal features. In case of multi-mode coupled duffing oscillators, peaks and jumps in response amplitudes show great potential in synchronous identification and successive detection for multiple traces. With tunable magnetically coupled duffing oscillators, multiple traces are both experimentally and theoretically demonstrated to be synchronously identified and successively detected with multiplied frequency shifts. Measurement ranges and manufacturing errors are adjustable or compensable respectively only through turning the coupling strength. This work not only opens a new avenue in applications of nonlinear resonators, but also provides a new metrological scheme for synchronous identification and successive detection of multiple traces.

Original languageEnglish
Article number108395
JournalMechanical Systems and Signal Processing
Volume166
DOIs
Publication statusPublished - 2022 Mar 1

Keywords

  • Frequency multiplication
  • Internal resonance
  • Multiple traces
  • Synchronous identification and successive detection
  • Tunable coupling oscillators

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications

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