Comparative Study of Data-Driven Models in Motor RUL Estimation-Reference-Cited by-同舟云学术

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Comparative Study of Data-Driven Models in Motor RUL Estimation

Published:2022-03 Issue:1 Volume:8 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Banerjee Ahin¹,Gupta Sanjay K.²,Putcha Chandrasekhar³

Affiliation:

1. Ph.D. Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi 221005, India.

2. Associate Professor, Dept. of Civil Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi 221005, India (corresponding author).

3. Professor, Dept. of Civil and Environmental Engineering, California State Univ., Fullerton, CA 92831.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0001186

Reference53 articles.

1. Overload Protection using Artificial Intelligence for DC Motors

2. Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab

3. Prediction of remaining useful life under different conditions using accelerated life testing data

4. Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

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

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