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

25 August 2019

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

19 / 19 papers shown

Title
How to Do Machine Learning with Small Data? -- A Review from an Industrial Perspective I. Kraljevski Yong Chul Ju Dmitrij Ivanov Constanze Tschope M. Wolff AI4CE 25 4 0 13 Nov 2023
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection Lorenzo Perini Paul-Christian Buerkner Arto Klami 26 14 0 19 Oct 2022
Detecting Anomalies within Smart Buildings using Do-It-Yourself Internet of Things Yasar Majib M. Barhamgi B. Heravi S. Kariyawasam Charith Perera 31 6 0 04 Oct 2022
In-flight Novelty Detection with Convolutional Neural Networks A. Hartwell Felipe J. Montana William R. Jacobs V. Kadirkamanathan A. Mills Tom S. Clark 16 6 0 07 Dec 2021
Toward Integrated Human-machine Intelligence for Civil Engineering: An Interdisciplinary Perspective Cheng Zhang Jinwoo Kim Jungho Jeon Jinding Xing C. Ahn P. Tang Hubo Cai AI4CE 6 7 0 28 Jul 2021
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection Mehran H. Bazargani A. Pakrashi Brian Mac Namee 14 4 0 29 Jan 2021
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series Pradeep Rathore Arghya Basak S. Nistala Venkataramana Runkana AAML 34 40 0 13 Jan 2021
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 20 780 0 24 Sep 2020
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities Zhaoyi Xu J. Saleh 12 338 0 19 Aug 2020
Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system Dounia Lakhmiri R. Alimo Sébastien Le Digabel DRL 14 2 0 06 Jun 2020
Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance Ali Anaissi S. M. Zandavi DRL 12 8 0 11 Mar 2020
Security and Privacy in IoT Using Machine Learning and Blockchain: Threats & Countermeasures Nazar Waheed Xiangjian He Muhammad Ikram Muhammad Usman Saad Sajid Hashmi Muhammad Usman 16 6 0 10 Feb 2020
Application of Machine Learning to accidents detection at directional drilling E. Gurina Nikita Klyuchnikov Alexey Zaytsev Evgenia Romanenkova Ksenia Antipova I. Simon V. Makarov D. Koroteev 11 48 0 06 Jun 2019
GAN Augmented Text Anomaly Detection with Sequences of Deep Statistics Mariem Ben Fadhel K. Nyarko AI4TS 9 3 0 24 Apr 2019
Real-time data-driven detection of the rock type alteration during a directional drilling Evgenia Romanenkova Alexey Zaytsev Nikita Klyuchnikov A. Gruzdev Ksenia Antipova ... Evgeny Burnaev A. Semenikhin V. Koryabkin I. Simon D. Koroteev 11 28 0 27 Mar 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 36 1,478 0 10 Jan 2019
Deep Learning for IoT Big Data and Streaming Analytics: A Survey M. Mohammadi Ala I. Al-Fuqaha Sameh Sorour Mohsen Guizani 27 1,050 0 09 Dec 2017
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks Narendhar Gugulothu T. Vishnu Pankaj Malhotra L. Vig Puneet Agarwal Gautam M. Shroff AI4TS 24 145 0 04 Sep 2017
Early Stage Malware Prediction Using Recurrent Neural Networks Matilda Rhode Pete Burnap K. Jones AAML 14 253 0 11 Aug 2017