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Multi-Sensor Prognostics using an Unsupervised Health Index based on
  LSTM Encoder-Decoder

Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder

22 August 2016
Pankaj Malhotra
T. Vishnu
Anusha Ramakrishnan
G. Anand
L. Vig
Puneet Agarwal
Gautam M. Shroff
    AI4TS
    AI4CE
ArXivPDFHTML

Papers citing "Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder"

14 / 14 papers shown
Title
Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes
Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes
Yuqi Su
Xiaolei Fang
26
0
0
09 May 2024
Health Index Estimation Through Integration of General Knowledge with
  Unsupervised Learning
Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning
Kristupas Bajarunas
Marcia Baptista
Kai Goebel
M. A. Chao
24
3
0
08 May 2024
Interaction models for remaining useful life estimation
Interaction models for remaining useful life estimation
D. Zhevnenko
M. Kazantsev
Ilya Makarov
21
3
0
10 Jan 2023
Learning Informative Health Indicators Through Unsupervised Contrastive
  Learning
Learning Informative Health Indicators Through Unsupervised Contrastive Learning
Katharina Rombach
Gabriel Michau
Wilfried Bürzle
Stefan Koller
Olga Fink
SSL
24
2
0
28 Aug 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning
  Enabling Technologies
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
Adam Thelen
Xiaoge Zhang
Olga Fink
Yan Lu
Sayan Ghosh
B. Youn
Michael D. Todd
S. Mahadevan
Chao Hu
Zhen Hu
SyDa
AI4CE
27
188
0
26 Aug 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and
  Vibroacoustic
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
35
84
0
13 Apr 2022
Big Machinery Data Preprocessing Methodology for Data-Driven Models in
  Prognostics and Health Management
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
Sergio Cofre-Martel
E. Droguett
M. Modarres
AI4CE
32
37
0
08 Oct 2021
Anomaly Detection in Beehives: An Algorithm Comparison
Anomaly Detection in Beehives: An Algorithm Comparison
Padraig Davidson
M. Steininger
Florian Lautenschlager
Anna Krause
Andreas Hotho
29
5
0
08 Oct 2021
Dual Aspect Self-Attention based on Transformer for Remaining Useful
  Life Prediction
Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction
Zhizheng Zhang
Wen Song
Qiqiang Li
AI4TS
47
165
0
30 Jun 2021
Anomaly Detection in Beehives using Deep Recurrent Autoencoders
Anomaly Detection in Beehives using Deep Recurrent Autoencoders
Padraig Davidson
M. Steininger
Florian Lautenschlager
Konstantin Kobs
Anna Krause
Andreas Hotho
23
21
0
10 Mar 2020
A Neural Network-Evolutionary Computational Framework for Remaining
  Useful Life Estimation of Mechanical Systems
A Neural Network-Evolutionary Computational Framework for Remaining Useful Life Estimation of Mechanical Systems
David Laredo
Zhaoyin Chen
O. Schütze
Jianqiao Sun
17
46
0
15 May 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using
  Ensemble of Deep Ordinal Regression Models
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models
T. Vishnu
Diksha Garg
Pankaj Malhotra
L. Vig
Gautam M. Shroff
UQCV
32
15
0
23 Mar 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
41
1,479
0
10 Jan 2019
Feature Learning for Fault Detection in High-Dimensional
  Condition-Monitoring Signals
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals
Gabriel Michau
Yang Hu
Thomas Palmé
Olga Fink
16
48
0
12 Oct 2018
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