Identification of Joint Discrepancy in Steel Truss Bridge Using Hilbert Transform with root-MUSIC and ESPRIT Techniques

Sharma, Anshul; Kumar, Pardeep; Vinayak, Hemant Kumar; Walia, Suresh Kumar

doi:10.1007/s40999-020-00597-2

Cited by 3 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The effectiveness and simplicity of ESPRIT have made it an extremely popular technique. The technique offers the benefit of drastically lowering the amount of processing power and memory required for storage 28 . By employing their eigenvalues, ESPRIT determines the DOA and the delay time of

d

received signals.…”

Section: Proposed Methodologymentioning

confidence: 99%

“…The technique offers the benefit of drastically lowering the amount of processing power and memory required for storage. 28 By employing their eigenvalues, ESPRIT determines the DOA and the delay time of d received signals. These two sub-branches' inspection outcome vectors, X 1 and X 2 , allow the antenna's observation output sequence, X, to be fully vectorized, as a result:…”

Section: Espritmentioning

confidence: 99%

See 1 more Smart Citation

A novel energy‐efficient routing protocol for industrial WSN using hybrid COOT‐LS algorithm with LSTM‐based DOM prediction

Ravikumar,

Kumar

2023

Int J Communication

View full text Add to dashboard Cite

SummaryIndustrial wireless sensor networks (IWSNs) are very important to improve and simplify the way to manage, monitor, and control industrial factories. IWSNs have many benefits, but because of their vulnerability to extremely complex and variable industrial contexts, they also limit some of the potential that is currently available and present difficulties on numerous fronts. The proposed work develops energy‐efficient routing technique to minimize the overall energy consumption. Heterogeneous mobile nodes are randomly deployed in the experimental region; then, region‐based grid formation is done in the proposed method. In each grid, the base node is selected utilizing the parameters like residual energy and distance of mobile nodes. Hybrid COOT‐HOA optimization is used in the proposed method for selecting the optimal base node in each grid. A deep learning‐based machine learning algorithm called long short‐term memory (LSTM) is utilized to predict the future direction of movement (DOM) of each mobile node in the grid. Estimation of signal parameters via rotational invariance technique (ESPRIT) is utilized to find an active zone from the sender node to direction of base node. Then, the sender node transmits the data to its nearest node in the active region. This proposed energy‐efficient routing algorithm is tested with several metrics which attains better performance like 94% packet delivery ratio, 7% packet loss, average residual energy of 9.5 J, and 3.4 Mbps throughput. Thus, the energy‐efficient routing protocol used in the proposed approach transfers the data in an energy‐efficient manner for IWSN.

show abstract

d

received signals.…”

Section: Proposed Methodologymentioning

confidence: 99%

Section: Espritmentioning

confidence: 99%

A novel energy‐efficient routing protocol for industrial WSN using hybrid COOT‐LS algorithm with LSTM‐based DOM prediction

Ravikumar,

Kumar

2023

Int J Communication

View full text Add to dashboard Cite

show abstract

“…The denoising of vibration responses makes the outputs more reliable and damage can be identified with higher level of confidence in a particular structure. The literature survey shows various studies using different techniques to denoise the measured vibration signals such as statistical methods (Babajanian Bisheh et al , 2019), Kalman Filter (Xiao et al , 2020; Jin et al , 2016), Frequency response Functions (Sipple and Sanayei, 2015), Multiple Signal Classification (MUSIC) (Sharma et al , 2021), Fractional Fourier transform (Wang et al , 2012), Estimation of Signal Parameter by Rotational Invariance Technique (ESPRIT) (Sharma et al , 2021), Stockwell transform (Jha and Kolekar, 2018), Short-term Fourier transform (STFT) (Walia et al , 2015), wavelet transform (Walia et al , 2013), Hilbert–Huang Transform (HHT) (Kunwar et al , 2013; Wang et al , 2020; Sharma et al , 2021), etc.…”

Section: Introductionmentioning

confidence: 99%

Steel truss bridge vibration-based condition monitoring using Savitzky-Golay filter, Hilbert transform, MUSIC and ESPRIT

Sharma

Kumar

Vinayak

et al. 2021

JEDT

Self Cite

View full text Add to dashboard Cite

Purpose This study aims to perform the experimental work on a laboratory-constructed steel truss bridge model on which hammer blows are applied for excitation. The vibration response signals of the bridge structure are collected using sensors placed at different nodes. The different damaged states such as no damage, single damage, double damage and triple damage are introduced by cutting members of the bridge. The masked noise with recorded vibration responses generates challenge to properly analyze the health of bridge structure. Design/methodology/approach The analytical modal properties are obtained from finite element model (FEM) developed using SAP2000 software. The response signals are analyzed in frequency domain by power spectrum and in time-frequency domain using spectrogram and Stockwell transform. Various low pass signal-filtering techniques such as variational filter, lowpass sparse banded (AB) filter and Savitzky–Golay (SG) differentiator filter are also applied to refine vibration signals. The proposed methodology further comprises application of Hilbert transform in combination with MUSIC and ESPRIT techniques. Findings The outcomes of SG filter provided the denoised signals using appropriate polynomial degree with proper selected window length. However, certain unwanted frequency peaks still appeared in the outcomes of SG filter. The SG-filtered signals are further analyzed using fused methodology of Hilbert transform-ESPRIT, which shows high accuracy in identifying modal frequencies at different states of the steel truss bridge. Originality/value The sequence of proposed methodology for denoising vibration response signals using SG filter with Hilbert transform-ESPRIT is a novel approach. The outcomes of proposed methodology are much refined and take less computational time.

show abstract

Incipient Damage Detection in a Truss-Type Bridge using vibration responses and MUSIC Technique

Hernandez-Maqueda¹,

Amezquita-Sanchez²,

Valtierra-Rodríguez³

et al. 2022

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)

View full text Add to dashboard Cite

Identification of Joint Discrepancy in Steel Truss Bridge Using Hilbert Transform with root-MUSIC and ESPRIT Techniques

Cited by 3 publications

References 25 publications

A novel energy‐efficient routing protocol for industrial WSN using hybrid COOT‐LS algorithm with LSTM‐based DOM prediction

A novel energy‐efficient routing protocol for industrial WSN using hybrid COOT‐LS algorithm with LSTM‐based DOM prediction

Steel truss bridge vibration-based condition monitoring using Savitzky-Golay filter, Hilbert transform, MUSIC and ESPRIT

Incipient Damage Detection in a Truss-Type Bridge using vibration responses and MUSIC Technique

Contact Info

Product

Resources

About