4.7 Article

Coupled neurons with multi-objective optimization benefit incipient fault identification of machinery

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

Double stochastic resonance induced by varying potential-well depth and width

Zijian Qiao et al.

Summary: This study investigates the effects of potential-well depth and width on stochastic resonance, revealing double resonance peaks and interesting phenomena that can provide clues for enhancing signals by adjusting the potential well.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2021)

Article Physics, Multidisciplinary

Quantum stochastic resonance in an a.c.-driven single-electron quantum dot

Timo Wagner et al.

NATURE PHYSICS (2019)

Review Engineering, Mechanical

Applications of stochastic resonance to machinery fault detection: A review and tutorial

Zijian Qiao et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Acoustics

Parameter matched stochastic resonance with damping for passive sonar detection

Haitao Dong et al.

JOURNAL OF SOUND AND VIBRATION (2019)

Article Acoustics

A novel blind deconvolution method and its application to fault identification

Yao Cheng et al.

JOURNAL OF SOUND AND VIBRATION (2019)

Article Multidisciplinary Sciences

New Type of Spectral Nonlinear Resonance Enhances Identification of Weak Signals

Rongming Lin et al.

SCIENTIFIC REPORTS (2019)

Article Engineering, Mechanical

An adaptive unsaturated bistable stochastic resonance method and its application in mechanical fault diagnosis

Zijian Qiao et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)

Article Engineering, Mechanical

Enhancing ability of harvesting energy from random vibration by decreasing the potential barrier of bistable harvester

Chunbo Lan et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)

Article Instruments & Instrumentation

The application of chaotic oscillator in detecting weak resonant signal of MEMS resonator

Huichao Shi et al.

REVIEW OF SCIENTIFIC INSTRUMENTS (2017)

Article Multidisciplinary Sciences

Optically levitated nanoparticle as a model system for stochastic bistable dynamics

F. Ricci et al.

NATURE COMMUNICATIONS (2017)

Article Physics, Fluids & Plasmas

Exploiting vibrational resonance in weak-signal detection

Yuhao Ren et al.

PHYSICAL REVIEW E (2017)

Article Computer Science, Artificial Intelligence

Chaotic Resonance in Coupled Inferior Olive Neurons with the Llinas Approach Neuron Model

Sou Nobukawa et al.

NEURAL COMPUTATION (2016)

Article Engineering, Multidisciplinary

SVD principle analysis and fault diagnosis for bearings based on the correlation coefficient

Zijian Qiao et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2015)

Article Engineering, Mechanical

Study of weak vibrating signal detection based on chaotic oscillator in MEMS resonant beam sensor

Huichao Shi et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)

Article Computer Science, Artificial Intelligence

Enhancement of dark and low-contrast images using dynamic stochastic resonance

Rajlaxmi Chouhan et al.

IET IMAGE PROCESSING (2013)

Article Multidisciplinary Sciences

Coherence Resonance in a Single-Walled Carbon Nanotube Ion Channel

Chang Young Lee et al.

SCIENCE (2010)

Article Acoustics

Enhanced vibrational energy harvesting using nonlinear stochastic resonance

C. R. McInnes et al.

JOURNAL OF SOUND AND VIBRATION (2008)

Article Computer Science, Artificial Intelligence

Noise enhancement of signal transduction by parallel arrays of nonlinear neurons with threshold and saturation

Solenna Blanchard et al.

NEUROCOMPUTING (2007)

Article Engineering, Electrical & Electronic

Empirical mode decomposition as a filter bank

P Flandrin et al.

IEEE SIGNAL PROCESSING LETTERS (2004)

Article Computer Science, Artificial Intelligence

Adaptive Stochastic resonance in noisy neurons based on mutual information

S Mitaim et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2004)

Article Computer Science, Artificial Intelligence

Adaptive wavelet thresholding for image denoising and compression

SG Chang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2000)