ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2401.10266
  4. Cited By
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
v1v2v3 (latest)

Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies

3 January 2024
Maryam Ahang
Todd Charter
Oluwaseyi Ogunfowora
Maziyar Khadivi
Oluwaseyi Ogunfowora
Homayoun Najjaran
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies"

11 / 11 papers shown
Condition Monitoring with Incomplete Data: An Integrated Variational
  Autoencoder and Distance Metric Framework
Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework
Maryam Ahang
Oluwaseyi Ogunfowora
Todd Charter
Homayoun Najjaran
221
3
0
08 Apr 2024
Synthesizing Rolling Bearing Fault Samples in New Conditions: A
  framework based on a modified CGAN
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGANItalian National Conference on Sensors (INS), 2022
Maryam Ahang
Masoud Jalayer
Ardeshir Shojaeinasab
Oluwaseyi Ogunfowora
Todd Charter
Homayoun Najjaran
AI4CE
240
26
0
24 Jun 2022
Generative Adversarial Networks
Generative Adversarial NetworksInternational Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Gilad Cohen
Raja Giryes
GAN
809
30,390
0
01 Mar 2022
Explainability: Relevance based Dynamic Deep Learning Algorithm for
  Fault Detection and Diagnosis in Chemical Processes
Explainability: Relevance based Dynamic Deep Learning Algorithm for Fault Detection and Diagnosis in Chemical ProcessesComputers and Chemical Engineering (Comput. Chem. Eng.), 2021
P. Agarwal
Melih Tamer
H. Budman
AAML
123
48
0
22 Mar 2021
A Comprehensive Review of Deep Learning Applications in Hydrology and
  Water Resources
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources
M. Sit
B. Demiray
Z. Xiang
Gregory Ewing
Y. Sermet
Ibrahim Demir
AI4ClAI4CE
206
404
0
17 Jun 2020
Fault Detection and Identification using Bayesian Recurrent Neural
  Networks
Fault Detection and Identification using Bayesian Recurrent Neural NetworksComputers and Chemical Engineering (CCE), 2019
Weike Sun
António R. C. Paiva
Peng Xu
Anantha Sundaram
R. D. Braatz
BDL
136
113
0
11 Nov 2019
Neural Component Analysis for Fault Detection
Neural Component Analysis for Fault Detection
Haitao Zhao
98
47
0
12 Dec 2017
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
3.5K
160,606
0
12 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
3.5K
29,308
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,614
0
16 Feb 2016
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An OverviewNeural Networks (NN), 2014
Jürgen Schmidhuber
HAI
558
17,089
0
30 Apr 2014
1