A stochastic method for the detection of anomalous energy consumption in hybrid industrial systems
Author:
Affiliation:
1. Fraunhofer Institute IOSB-INA, Application Center Industrial Automation, Germany
2. Ostwestfalen-Lippe University of Applied Sciences, LLA - Power Electronics and Electrical Drives Lab, Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6599026/6622844/06622881.pdf?arnumber=6622881
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1. Stochastic conformal anomaly detection and resolution for air traffic control;Transportation Research Part C: Emerging Technologies;2023-09
2. Data-Driven Fault Detection in Industrial Batch Processes Based on a Stochastic Hybrid Process Model;IEEE Transactions on Automation Science and Engineering;2022-10
3. The challenges, approaches, and used techniques of CPS for manufacturing in Industry 4.0: a literature review;The International Journal of Advanced Manufacturing Technology;2021-02-17
4. Energy Anomaly Detection in Industrial Applications with Long Short-term Memory-based Autoencoders;Procedia CIRP;2021
5. Fuzzy Approach for Detection of Anomalies in Time Series;Artificial Intelligence and Soft Computing;2019
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