Robust Data-Driven Fault Detection in Dynamic Process Environments Using Discrete Event Systems
DOI10.1007/978-3-319-74962-4_4zbMath1455.68034OpenAlexW2792728302MaRDI QIDQ5117249
Publication date: 20 August 2020
Published in: Diagnosability, Security and Safety of Hybrid Dynamic and Cyber-Physical Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-74962-4_4
data-driven fault detectiondiscrete-event signalsisolation changesmulti-sensor networksnetworks causal relations
Learning and adaptive systems in artificial intelligence (68T05) Control/observation systems involving computers (process control, etc.) (93C83) Discrete event control/observation systems (93C65) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Reliability, testing and fault tolerance of networks and computer systems (68M15) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30) Wireless sensor networks as related to computer science (68M18)
Uses Software
Cites Work
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- Evolving fuzzy systems -- methodologies, advanced concepts and applications.
- On-line incremental feature weighting in evolving fuzzy classifiers
- Soft sensors for monitoring and control of industrial processes.
- Gradient based variable forgetting factor RLS algorithm
- Reconstruction-based contribution for process monitoring
- Fuzzy fault isolation using gradient information and quality criteria from system identification models
- Principal component analysis.
- On incremental and robust subspace learning
- A novel extended kernel recursive least squares algorithm
- Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm
- Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems
- Knowledge Discovery from Data Streams
- 10.1162/15324430260185574
- A new type of simplified fuzzy rule-based system
- ON-LINE FAULT DETECTION WITH DATA-DRIVEN EVOLVING FUZZY MODELS
- Model Selection and Model Averaging
- Genetic Algorithms and Genetic Programming
- Probabilistic Principal Component Analysis
- Improvements on Cross-Validation: The .632+ Bootstrap Method
- SPARLS: The Sparse RLS Algorithm
- A proof of the Gamma test
- 10.1162/153244303322753616
- Learning in Non-Stationary Environments
- Regression modeling strategies. With applications to linear models, logistic regression and survival analysis