A combined data-driven and model-based residual selection algorithm for fault detection and isolation
D Jung, C Sundström - IEEE Transactions on Control Systems …, 2017 - ieeexplore.ieee.org
Selecting residual generators for detecting and isolating faults in a system is an important
step when designing model-based diagnosis systems. However, finding a suitable set of …
step when designing model-based diagnosis systems. However, finding a suitable set of …
Model-based diagnosis through structural analysis and causal computation for automotive polymer electrolyte membrane fuel cell systems
The present paper proposes an advanced approach for Polymer Electrolyte Membrane Fuel
Cell (PEMFC) systems fault detection and isolation through a model-based diagnostic …
Cell (PEMFC) systems fault detection and isolation through a model-based diagnostic …
Real-time detection of incipient inter-turn short circuit and sensor faults in permanent magnet synchronous motor drives based on generalized likelihood ratio test and …
This paper presents a robust model-based technique to detect multiple faults in permanent
magnet synchronous motors (PMSMs), namely inter-turn short circuit (ITSC) and encoder …
magnet synchronous motors (PMSMs), namely inter-turn short circuit (ITSC) and encoder …
Near-optimal decentralized diagnosis via structural analysis
G Perez-Zuniga, E Chanthery… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
Health monitoring of current complex systems significantly impacts the total cost of the
system. Centralized fault diagnosis architectures are sometimes prohibitive for large-scale …
system. Centralized fault diagnosis architectures are sometimes prohibitive for large-scale …
Fault-driven structural diagnosis approach in a distributed context
Distributed diagnosis is important for complex systems as a way to reduce computational
costs or for large systems that require minimizing data transfer. This paper presents a …
costs or for large systems that require minimizing data transfer. This paper presents a …
Decentralized diagnosis via structural analysis and integer programming
Centralized fault diagnosis architectures are sometimes prohibitive for large-scale
interconnected systems such as distribution systems, telecommunication networks, water …
interconnected systems such as distribution systems, telecommunication networks, water …
Flotation process fault diagnosis via structural analysis
CG Pérez-Zuñiga, J Sotomayor-Moriano… - IFAC-PapersOnLine, 2019 - Elsevier
For the improvement of safety and efficiency, fault diagnosis becomes increasingly important
in mining industry. The expansion of flotation processes with high-tonnage cooper …
in mining industry. The expansion of flotation processes with high-tonnage cooper …
Decentralized diagnosis in a spacecraft attitude determination and control system
CG Pérez, L Travé-Massuyès… - Journal of Physics …, 2015 - iopscience.iop.org
In model-based diagnosis (MBD), structural models can provide useful information for fault
diagnosis and fault-tolerant control design. In particular, they are known for supporting the …
diagnosis and fault-tolerant control design. In particular, they are known for supporting the …
Fault isolation on request based on decentralized residual generation
E Chanthery, L Travé-Massuyès… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper presents the theoretical keystone for a decentralization of model-based
diagnosis by proving the equivalence between decentralized and centralized residual …
diagnosis by proving the equivalence between decentralized and centralized residual …
Fault-driven minimal structurally overdetermined set in a distributed context
Distributed diagnosis is important for on-board systems as a way to reduce computational
costs or for large geographically distributed systems that require minimizing data transfer …
costs or for large geographically distributed systems that require minimizing data transfer …