Time-of-flight estimation based on covariance models

Heijden, Ferdinand van der; Tuquerres, G.; Regtien, Paulus P.L.

doi:10.1088/0957-0233/14/8/315

Cited by 19 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The third order in figure 9 represents that the S( f ) phase is three multiples of φ 0 ( f ). According to equation (7), the propagation distance obtained equals the product of order and the initial distance from the actuator to sensor. Therefore the propagation distance of S0 mode wave-packet from the actuator to the second acquisition point is estimated as 1800 mm, which agrees completely with the actual location of Position 2.…”

Section: Numerical Investigation Of the Proposed Methodsmentioning

confidence: 99%

“…However it requires the prior knowledge of onset time of echoes and wave mode. The statistical method [7,8] is presented for travel time estimation based on covariance models. Alternatively, travel time can be extracted deterministically by methods such as magnitude thresholding [9], matched filter [10], envelop moment [11], Hilbert-Huang transform [12,13], short time Fourier transform [14], wavelet transform [15][16][17][18], etc.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Order analysis for measurement of Lamb wave propagation distance

Liu¹,

Veidt²,

Lin³

et al. 2013

Meas. Sci. Technol.

View full text Add to dashboard Cite

The order analysis technique is utilized to directly measure the propagation distance of a Lamb wave without knowing its travel time and group velocity. The proposed algorithm relates the propagating wave-packets to the referenced wave-packet, instead of to an absolute propagating distance. The dispersion signal in the frequency domain is firstly resampled and interpolated according to the unwrapped phase derived from the referenced wave-packet. Subsequently, it is transformed into the angle domain stationary signal. The ‘order’ is defined as the propagating distance of dispersion wave-packet normalized by that of referenced wave-packet. Then the order spectrum is obtained by the Fourier transform of the equivalent angle signal. Finally, the wave-packet propagation distance is estimated precisely according to the mono-function relationship between the orders and the propagation distances. Synthetic and experimental results show that the proposed method enables the precise propagation distance estimation and mode identification regardless of the phenomenon of dispersion and multi-mode overlapping.

show abstract

Section: Numerical Investigation Of the Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Order analysis for measurement of Lamb wave propagation distance

Liu¹,

Veidt²,

Lin³

et al. 2013

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…This factor is important as consumers usually need to build trust towards the seller before making a purchase decision. Furthermore, Heijden et al (2003) and Delfarooz et al (2011) revealed that trust to be the most important element that driving online purchase intention. This…”

Section: Not Supportedmentioning

confidence: 99%

The Influence of Streamer’s Characteristics on Consumer Purchase Intention Through Live Streaming

Che Wel,

Mohamad Yadi,

Abdul Hamid

et al. 2023

IJARBSS

View full text Add to dashboard Cite

This study conducted in Malaysia aimed to investigate the factors influencing consumers intentions to make purchase through live streaming. The research focused on streamer's characteristics, specifically attractiveness, trustworthiness, expertise, and interactivity, to determine their impact on consumer purchase intention. The survey involved 150 respondents randomly chosen among Malaysian, who answered a questionnaire distributed through platforms live WhatsApp, Instagram and Twitter. Multiple regression analysis revealed that two streamer characteristics, trustworthiness and expertise, exhibited a strong association with customer intention to purchase through live streaming. However, streamer's attractiveness and interactivity were not found to be significantly related to customer purchase intention. This findings offer valuable insights for both aspiring live streamers and marketers. Trustworthiness and expertise emerged as crucial attributes for streamers looking to influence consumer purchase intentions. This information serves as a practical guide for individuals aspiring to become live streamers, emphasizing the importance of building trust and showcasing expertise. Additionally, marketers seeking suitable candidates for live streaming partnerships can use this study as a reference to identify streamers who possess the key characteristics that positively impact consumer behavior. Overall, this study provides nuanced understanding of the dynamics between streamers characteristics and consumer preferences in the context of live streaming in Malaysia.

show abstract

“…Only the first wavepackets are considered during the path damage index calculation, hence the ToA has to be estimated. There are multiple ways to estimate the ToA of guided waves such as cross-correlation [32], dispersion compensation [33,34] and matching pursuit [35] methods but the additional reflections and mode conversion created by the repair steps makes these techniques inadequate and not accurate. For the MIS algorithm, the Rayleigh Maximum Likelihood Estimate(RMLE) [36] has been chosen for its robustness.…”

Section: Toa Estimationmentioning

confidence: 99%

Damage detection & localization on composite patch repair under different environmental effects

Lambinet

Khodaei

2020

Eng. Res. Express

View full text Add to dashboard Cite

This paper presents a structural health monitoring (SHM) methodology for detecting damage in a composite bonded repair. The application of guided wave based techniques in a step-sanded bonded repair under operational and environmental load is thoroughly investigated. A two step damage detection and localization algorithm is presented, were in the first level the path damage indices (PDIs) for each transducer pair is calculated. The PDIs are then compared to a set threshold (based on the environmental and operational conditions) to increase the reliability of damage detection while reducing false alarm. In addition, a self-diagnosis approach based on electro-mechanical impedance (EMI) measure is proposed to identify the faulty sensors prior to the diagnosis. Once the transducer pairs with possible damage in their path has been selected, the second level of the proposed methodology is damage localization. To address the challenge of edge reflection, complex geometrical shape and layup of the repair patch which introduced anisotropy to the wave propagation, a novel damage detection based on probability imaging technique is proposed. The methodology is developed based on assigning probabilities of damage to the Minimal Intersection Score (MIS) to reduce the path saturation related to each path having the same probability of damage being located anywhere along it. The proposed method, uses a smart sub-division technique based on Voronoi Tessellation which is adaptable to any shape (circular, rectangular, elliptical). The reliability of the proposed method is then demonstrated with experimental results on a composite step-sanded repair subjected to impact damage under vibration and temperature variations, and the choice of input parameters such as wave form and excitation frequency on the probability of detecting damage is demonstrated.

show abstract

Time-of-flight estimation based on covariance models

Cited by 19 publications

References 13 publications

Order analysis for measurement of Lamb wave propagation distance

Order analysis for measurement of Lamb wave propagation distance

The Influence of Streamer’s Characteristics on Consumer Purchase Intention Through Live Streaming

Damage detection & localization on composite patch repair under different environmental effects

Contact Info

Product

Resources

About