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Fault Detection and Identification using Bayesian Recurrent Neural
  Networks
v1v2 (latest)

Fault Detection and Identification using Bayesian Recurrent Neural Networks

Computers and Chemical Engineering (CCE), 2019
11 November 2019
Weike Sun
António R. C. Paiva
Peng Xu
Anantha Sundaram
R. D. Braatz
    BDL
ArXiv (abs)PDFHTML

Papers citing "Fault Detection and Identification using Bayesian Recurrent Neural Networks"

11 / 11 papers shown
Comparative Evaluation of Kolmogorov-Arnold Autoencoders and Orthogonal Autoencoders for Fault Detection with Varying Training Set Sizes
Comparative Evaluation of Kolmogorov-Arnold Autoencoders and Orthogonal Autoencoders for Fault Detection with Varying Training Set Sizes
Enrique Luna Villagómez
Vladimir Mahalec
68
0
0
04 Aug 2025
Physics-Informed Real NVP for Satellite Power System Fault Detection
Physics-Informed Real NVP for Satellite Power System Fault Detection
Carlo Cena
Umberto Albertin
Mauro Martini
Silvia Bucci
Marcello Chiaberge
165
7
0
27 May 2024
Autoencoder-assisted Feature Ensemble Net for Incipient Faults
Autoencoder-assisted Feature Ensemble Net for Incipient Faults
Mingxuan Gao
Min Wang
Maoyin Chen
111
0
0
22 Apr 2024
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
Maryam Ahang
Todd Charter
Oluwaseyi Ogunfowora
Maziyar Khadivi
Oluwaseyi Ogunfowora
Homayoun Najjaran
AI4CE
289
4
0
03 Jan 2024
Multivariate Time Series Anomaly Detection with Few Positive Samples
Multivariate Time Series Anomaly Detection with Few Positive SamplesIEEE International Joint Conference on Neural Network (IJCNN), 2022
Feng Xue
Weizhong Yan
AI4TS
99
4
0
02 Jul 2022
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time
  Series
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time SeriesIEEE International Joint Conference on Neural Network (IJCNN), 2022
Yiwei Fu
Feng Xue
AI4TS
103
22
0
04 May 2022
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via
  Bayesian Inference and Precision Learning
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision LearningIFAC-PapersOnLine (IFAC-PapersOnLine), 2022
Mohamed Baioumy
William Hartemink
Riccardo M. G. Ferrari
Nick Hawes
116
0
0
17 Apr 2022
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in
  Safety-Critical Applications
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical ApplicationsReliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2021
Taotao Zhou
E. Droguett
A. Mosleh
F. Chan
EDL
119
61
0
08 Oct 2021
Assessing Machine Learning Approaches to Address IoT Sensor Drift
Assessing Machine Learning Approaches to Address IoT Sensor Drift
Haining Zheng
António R. C. Paiva
97
2
0
02 Sep 2021
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based
  Accelerator
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based AcceleratorInternational Conference on Field-Programmable Technology (ICFPT), 2021
Martin Ferianc
Zhiqiang Que
Hongxiang Fan
Wayne Luk
Miguel R. D. Rodrigues
BDL
232
8
0
04 Jun 2021
Advancing from Predictive Maintenance to Intelligent Maintenance with AI
  and IIoT
Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT
Haining Zheng
António R. C. Paiva
C. Gurciullo
77
27
0
01 Sep 2020
1