LSTM-Autoencoder-Based Interpretable Predictive Maintenance Framework for Industrial Systems.
Anmol AgrawalAparna SinhaDebanjan DasPublished in: I2MTC (2024)
Keyphrases
- industrial applications
- theoretical framework
- industrial systems
- main contribution
- computational intelligence
- case study
- real time
- pairwise
- conceptual framework
- key features
- lightweight
- multi class
- probabilistic model
- relational databases
- image sequences
- e learning
- decision making
- computer vision
- artificial intelligence
- genetic algorithm
- real world
- databases
- data sets