Incipient fault detection approach based on piecewise linear shape-based global embedding for steam turbine plants-Reference-Cited by-同舟云学术

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Incipient fault detection approach based on piecewise linear shape-based global embedding for steam turbine plants

Published:2024-09 Issue: Volume:370 Page:123563
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Huang Bo^ORCID,Peng Yun-Hong,Hu Li-Sheng,Liang Xiao-Chi

Publisher

Elsevier BV

Reference60 articles.

1. Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers;Salahshoor;Energy,2010

2. A review of process fault detection and diagnosis: Part III: Process history based methods;Venkatasubramanian;Comput Chem Eng,2003

3. A review of process fault detection and diagnosis: Part I: Quantitative model-based methods;Venkatasubramanian;Comput Chem Eng,2003

4. Analytical methods;Chiang,2001

5. Fan C-M, Lu Y-P. A Bayesian framework to integrate knowledge-based and data-driven inference tools for reliable yield diagnoses. In: Proceedings - winter simulation conference. 2008, p. 2323–9.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Unsupervised Fault Warning Method Based on Hybrid Information Gain and a Convolutional Autoencoder for Steam Turbines;Energies;2024-08-18

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