Anomaly detection of gas turbines based on normal pattern extraction-Reference-Cited by-同舟云学术

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Anomaly detection of gas turbines based on normal pattern extraction

Published:2020-02 Issue: Volume:166 Page:114664
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Bai Mingliang,Liu Jinfu,Chai Jinhua,Zhao Xinyu,Yu Daren

Funder

National Science and Technology Major Project of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference69 articles.

1. Transfer-learning based gas path analysis method for gas turbines;Tang;Appl. Therm. Eng.,2019

2. Stochastic risk-constrained scheduling of smart energy hub in the presence of wind power and demand response;Dolatabadi;Appl. Therm. Eng.,2017

3. A comprehensive analysis of a thermal energy storage concept based on low-rank coal pre-drying for reducing the minimum load of coal-fired power plants;Sun;Appl. Therm. Eng.,2019

4. Derivative-driven window-based regression method for gas turbine performance prognostics;Tsoutsanis;Energy,2017

5. Study on the load following characteristics of a distributed IGCC for independent microgrid;Obara;Energy,2016

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