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Found 4 papers, 0 papers with code
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
This paper provides an overview of intelligent condition monitoring and fault detection and diagnosis methods for industrial plants with a focus on the open-source benchmark Tennessee Eastman Process (TEP).
A Transformer-based Framework For Multi-variate Time Series: A Remaining Useful Life Prediction Use Case
This work proposed an encoder-transformer architecture-based framework for multivariate time series prediction for a prognostics use case.
Reinforcement and Deep Reinforcement Learning-based Solutions for Machine Maintenance Planning, Scheduling Policies, and Optimization
Adopted methodologies, findings, and well-defined interpretations of the reviewed studies were summarized in graphical and tabular representations to maximize the utility of the work for both researchers and practitioners.
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN
The proposed method is validated on a real-world bearing dataset, and fault data are generated for different conditions.
