Early Detection of Thermoacoustic Instabilities Using Hidden Markov Models-Reference-Cited by-同舟云学术

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Early Detection of Thermoacoustic Instabilities Using Hidden Markov Models

Published:2018-10-04 Issue:8 Volume:191 Page:1309-1336
ISSN:0010-2202
Container-title:Combustion Science and Technology
language:en
Short-container-title:Combustion Science and Technology

Author:

Mondal Sudeepta¹,Ghalyan Najah F.¹,Ray Asok²,Mukhopadhyay Achintya³

Affiliation:

1. Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA, USA

2. Department of Mathematics, The Pennsylvania State University, University Park, PA, USA

3. Department of Mechanical Engineering, Jadavpur University, Kolkata, India

Funder

U.S. Air Force Office of Scientific Research (AFOSR)

Publisher

Informa UK Limited

Subject

General Physics and Astronomy,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00102202.2018.1523900

Reference38 articles.

1. A new look at the statistical model identification

2. Quantifying acoustic damping using flame chemiluminescence

3. Selecting hidden Markov model state number with cross-validated likelihood

4. Online Predictive Monitoring Using Dynamic Imaging of Furnaces with the Combinational Method of Multiway Principal Component Analysis and Hidden Markov Model

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1. Data-driven approach based on hidden Markov model for detecting the status of bikes in Bike-Sharing systems;Computers & Industrial Engineering;2024-10

2. Detection of Precursors of Thermoacoustic Instability in a Swirled Combustor Using Chaotic Analysis and Deep Learning Models;Aerospace;2024-06-05

3. A Hybrid Hidden Markov Model and Time-Frequency Approach to Impact Echo Signal Classification;Journal of Nondestructive Evaluation;2022-10-02

4. Forecasting thermoacoustic instabilities in liquid propellant rocket engines using multimodal Bayesian deep learning;International Journal of Spray and Combustion Dynamics;2022-09

5. Real Time Precursor Calculation for the Early Detection of Combustion Instabilities;Journal of Engineering for Gas Turbines and Power;2022-08-24

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