313
Views
8
CrossRef citations to date
0
Altmetric
Research Article

Early Prediction of Lean Blowout from Chemiluminescence Time Series Data

, , , &
Pages 1108-1135 | Received 03 Apr 2020, Accepted 29 Jul 2020, Published online: 27 Aug 2020

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

Somnath De, Sabyasachi Mondal, Arijit Bhattacharya, Sirshendu Mondal, Achintya Mukhopadhyay & Swarnendu Sen. (2022) Dynamics of Premixed Flames Near Lean and Rich Blowout. Combustion Science and Technology 0:0, pages 1-17.
Read now

Articles from other publishers (7)

Abdulrahman Abdullah Bahashwan, Rosdiazli Ibrahim, Madiah Omar & Temitope Ibrahim Amosa. (2024) Supervised learning-based multi-site lean blowout prediction for dry low emission gas turbine. Expert Systems with Applications 244, pages 123035.
Crossref
Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen & Soumik Sarkar. (2024) An LSTM-based approach to detect transition to lean blowout in swirl-stabilized dump combustion systems. Energy and AI 16, pages 100334.
Crossref
Zhen Cao, Xin Yu, Jiangbo Peng, Bin Hu, Penghua Qiu, Wenbei Liu, Long Gao, Xun Yuan, Shanchun Zhang & Minghong Han. (2024) Near blowout instabilities and identification based on multivariate analysis with high-speed multi-species optical diagnostic techniques. Fuel 357, pages 129915.
Crossref
Arijit Bhattacharya, Sabyasachi Mondal, Somnath De, Achintya Mukhopadhyay & Swarnendu Sen. (2024) Lean blowout detection using topological data analysis. Chaos: An Interdisciplinary Journal of Nonlinear Science 34:1.
Crossref
Zhen CAO, Xin YU, Jiangbo PENG, Bin HU, Zhonghao WANG, Yang YU, Long GAO, Minghong HAN, Xun YUAN & Guohua WU. (2023) Flame features and oscillation characteristics in near-blowout swirl-stabilized flames using high-speed OH-PLIF and mode decomposition methods. Chinese Journal of Aeronautics 36:1, pages 191-200.
Crossref
Abdulrahman Bahashwan, Rosdiazli Ibrahim, Madiah Omar & Mochammad Faqih. (2022) The Lean Blowout Prediction Techniques in Lean Premixed Gas Turbine: An Overview. Energies 15:22, pages 8343.
Crossref
Abdulrahman Abdullah Bahashwan, Rosdiazli Bin Ibrahim, Madiah Binti Omar & Mochammad Faqih. (2022) Data-driven lean blowout prediction based on industrial dry low emission gas turbine dataset Using decision tree. Data-driven lean blowout prediction based on industrial dry low emission gas turbine dataset Using decision tree.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.