ResearchTrend.AI
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach

On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach

Weizhong Yan
Lijie Yu
ArXivPDFHTML

Papers citing "On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach"

5 / 5 papers shown
Title
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
Zhaoyi Xu
J. Saleh
55
343
0
19 Aug 2020
Graph-based Anomaly Detection and Description: A Survey
Graph-based Anomaly Detection and Description: A Survey
Leman Akoglu
Hanghang Tong
Danai Koutra
OOD
AI4TS
86
1,392
0
18 Apr 2014
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)
Shaobo Lin
Xia Liu
Jian Fang
Zongben Xu
62
116
0
24 Jan 2014
Challenges in Representation Learning: A report on three machine learning contests
Challenges in Representation Learning: A report on three machine learning contests
Ian Goodfellow
D. Erhan
P. Carrier
Aaron Courville
M. Berk Mirza
...
Jingjing Xie
Lukasz Romaszko
Bing Xu
Chuang Zhang
Yoshua Bengio
CVBM
118
1,605
0
01 Jul 2013
Natural Language Processing (almost) from Scratch
Natural Language Processing (almost) from Scratch
R. Collobert
Jason Weston
Léon Bottou
Michael Karlen
Koray Kavukcuoglu
Pavel P. Kuksa
143
7,711
0
02 Mar 2011