A scheme is developed for classifying the types of motion perceived by a humanlike robot. It is assumed that the robot receives visual images of the scene using a perspective system model. Equations, theorems, concepts, clues, etc., relating the objects, their positions, and their motion to their images on the focal plane are presented. >

http://ieeexplore.ieee.org/iel2/815/3148/00100651.pdf

Robot vision

System Identification I

The concept of presence, or “being there” is a frequently emphasized factor in immersive mediated environments. It is often assumed that greater levels of immersive quality elicit higher levels of presence, in turn enhancing the effectiveness of a mediated experience. To investigate this assumption the current meta-analysis synthesizes decades of empirical research examining the effect of immersive system technology on user experiences of presence. Aggregating 115 effect sizes from 83 studies, it finds that technological immersion has a medium-sized effect on presence. Additionally, results show that increased levels of user-tracking, the use of stereoscopic visuals, and wider fields of view of visual displays are significantly more impactful than improvements to most other immersive system features, including quality of visual and auditory content. These findings are discussed in light of theoretical accounts of the presence construct as well as practical implications for design.

How Immersive Is Enough? A Meta-Analysis of the Effect of Immersive Technology on User Presence

The paper provides a state of the art review of guided wave based structural health monitoring (SHM). First, the fundamental concepts of guided wave propagation and its implementation for SHM is explained. Following sections present the different modeling schemes adopted, developments in the area of transducers for generation, and sensing of wave, signal processing and imaging technique, statistical and machine learning schemes for feature extraction. Next, a section is presented on the recent advancements in nonlinear guided wave for SHM. This is followed by section on Rayleigh and SH waves. Next is a section on real-life implementation of guided wave for industrial problems. The paper, though briefly talks about the early development for completeness,. is primarily focussed on the recent progress made in the last decade. The paper ends by discussing and highlighting the future directions and open areas of research in guided wave based SHM.

https://iopscience.iop.org/article/10.1088/0964-1726/25/5/053001/pdf

Guided wave based structural health monitoring: A review

https://ir.cwi.nl/pub/30568/1-s2.0-S096014811831231X-main.pdf

Machine learning methods for wind turbine condition monitoring: A review

https://hal.archives-ouvertes.fr/hal-00619301/document

Identification of cascade of Hammerstein models for the description of nonlinearities in vibrating devices

This article focuses on Bayesian Lamb wave-based damage localization in structural health monitoring of anisotropic composite materials. A Bayesian framework is applied to take account of uncertainties from experimental time-of-flight measurements and angle-dependent group velocity within the composite material. An original parametric analytical expression of the direction dependence of group velocity is proposed and validated numerically and experimentally for anisotropic composite and sandwich plates. This expression is incorporated into time-of-arrival (ellipse-based) and time-difference-of-arrival (hyperbola-based) Bayesian damage localization algorithms. This way, the damage location and the group velocity profile are estimated jointly and a priori information is taken into consideration. The proposed algorithm is general as it allows us to take into account uncertainties within a Bayesian framework, and to model effects of anisotropy on group velocity. Numerical and experimental results obtained wit...

/pdf/a-general-bayesian-framework-for-ellipse-based-and-hyperbola-4s9vxn6jxu.pdf

A general Bayesian framework for ellipse-based and hyperbola-based damage localization in anisotropic composite plates:

This paper presents a temperature compensation method for Lamb wave structural health monitoring. The proposed approach considers a representation of the piezo-sensor signal through its Hilbert transform that allows one to extract the amplitude factor and the phase shift in signals caused by temperature changes. An ordinary least square (OLS) algorithm is used to estimate these unknown parameters. After estimating these parameters at each temperature in the operating range, linear functional relationships between the temperature and the estimated parameters are derived using the least squares method. A temperature compensation model is developed based on this linear relationship that allows one to reconstruct sensor signals at any arbitrary temperature. The proposed approach is validated numerically and experimentally for an anisotropic composite plate at different temperatures ranging from 16°C to 85°C. A close match is found between the measured signals and the reconstructed ones. This approach is inter...

/pdf/a-data-driven-temperature-compensation-approach-for-15utih46ar.pdf

A data-driven temperature compensation approach for Structural Health Monitoring using Lamb waves

https://hal.archives-ouvertes.fr/hal-01001853/document

Marc Rebillat

Papers

Identification of cascade of Hammerstein models for the description of nonlinearities in vibrating devices

A general Bayesian framework for ellipse-based and hyperbola-based damage localization in anisotropic composite plates:

A data-driven temperature compensation approach for Structural Health Monitoring using Lamb waves

Nonlinear structural damage detection based on cascade of Hammerstein models

Vibroacoustics of the piano soundboard: (Non)linearity and modal properties in the low- and mid-frequency ranges