A regularized inverse problem approach for robust condition monitoring in industrial systems
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Publication:2101245
DOI10.1007/978-3-031-00978-5_8zbMath1504.93072OpenAlexW4296229063MaRDI QIDQ2101245
Publication date: 5 December 2022
Full work available at URL: https://doi.org/10.1007/978-3-031-00978-5_8
Sensitivity (robustness) (93B35) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)
Cites Work
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- Numerical regularization for atmospheric inverse problems
- A new structural framework for parity equation-based failure detection and isolation
- Input observability and input reconstruction
- Fault diagnosis inverse problems: solution with metaheuristics
- Well-posed, ill-posed, and intermediate problems with applications
- The fault diagnosis inverse problem with ant colony optimization and ant colony optimization with dispersion
- Analytical redundancy and the design of robust failure detection systems
- Fault Diagnosis in Industrial Systems Using Bioinspired Cooperative Strategies
- Process Fault Diagnosis Based on Process Model Knowledge: Part I—Principles for Fault Diagnosis With Parameter Estimation
- Rank-Deficient and Discrete Ill-Posed Problems
- An Introduction to Inverse Problems with Applications
- Inversion-based residual generation for robust detection and isolation of faults by means of estimation of the inverse dynamics in linear dynamical systems
- Robust Inversion Based Fault Estimation for Discrete-Time LPV Systems
- Diagnosis and Fault-Tolerant Control
- Fault diagnosis in linear systems via sliding mode observers
- An introduction to the mathematical theory of inverse problems
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