Gaussian Process-Based Particle-Filtering Approach for Real-Time Damage Prediction with Application-Reference-Cited by-同舟云学术

Gaussian Process-Based Particle-Filtering Approach for Real-Time Damage Prediction with Application

Published:2017-01 Issue:1 Volume:30 Page:04016080
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Neerukatti Rajesh Kumar¹,Fard Masoud Yekani²,Chattopadhyay Aditi³

Affiliation:

1. Graduate Research Associate, Dept. of Mechanical and Aerospace Engineering, Arizona State Univ., Tempe, AZ 85287 (corresponding author).

2. Assistant Research Professor, Dept. of Mechanical and Aerospace Engineering, Arizona State Univ., Tempe, AZ 85287.

3. Regents’ Professor, Dept. of Mechanical and Aerospace Engineering, Arizona State Univ., Tempe, AZ 85287.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0000680

Reference48 articles.

1. Abed L. and Gasser M. M. (1993). “Model study of local scour downstream bridge piers.” Proc. National Conf. on Hydraulic Engineering ASCE Reston VA 1738–1743.

2. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

3. Alternative neural networks to estimate the scour below spillways

4. Genetic Programming to Predict Bridge Pier Scour

5. Neural network and neuro-fuzzy assessments for scour depth around bridge piers

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