An efficient algorithm for finding minimal overconstrained subsystems for model-based diagnosis
In model-based diagnosis, diagnostic system construction is based on a model of the
technical system to be diagnosed. To handle large differential algebraic models and to …
technical system to be diagnosed. To handle large differential algebraic models and to …
Diagnosability analysis based on component-supported analytical redundancy relations
L Travé-Massuyes, T Escobet… - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
It is commonly accepted that the requirements for maintenance and diagnosis should be
considered at the earliest stages of design. For this reason, methods for analyzing the …
considered at the earliest stages of design. For this reason, methods for analyzing the …
[HTML][HTML] State space neural networks and model-decomposition methods for fault diagnosis of complex industrial systems
Reliable and timely fault detection and isolation are necessary tasks to guarantee
continuous performance in complex industrial systems, avoiding failure propagation in the …
continuous performance in complex industrial systems, avoiding failure propagation in the …
Structural analysis of fault isolability in the DAMADICS benchmark
Structural analysis is a powerful tool for early determination of fault detectability/fault
isolability possibilities. It is shown how different levels of knowledge about faults can be …
isolability possibilities. It is shown how different levels of knowledge about faults can be …
The merits of exergy-based fault detection in petrochemical processes
The complexity and multi-domain nature of petrochemical (PC) plants make the application
of conventional model-based fault detection and isolation (FDI) techniques a challenging …
of conventional model-based fault detection and isolation (FDI) techniques a challenging …
Actuator fault distinguishability study for the DAMADICS benchmark problem
JM Kościelny, M Bartyś, P Rzepiejewski… - Control engineering …, 2006 - Elsevier
The paper discusses the problems of fault distinguishability in case of a multiple-valued
evaluation of fault symptoms. Definitions of conditional and unconditional fault …
evaluation of fault symptoms. Definitions of conditional and unconditional fault …
[PDF][PDF] Sensor placement for maximum fault isolability
E Frisk, M Krysander - … of 18th international workshop on principles …, 2007 - academia.edu
An algorithm is developed for computing which sensors to add to obtain maximum fault
detectability and fault isolability. The method is based on only the structural information in a …
detectability and fault isolability. The method is based on only the structural information in a …
[PDF][PDF] Comparing diagnosability in continuous and discrete-event systems
MO Cordier, L Travé-Massuyes… - Proceedings of the 17th …, 2006 - homepages.laas.fr
This paper is concerned with diagnosability analysis, which proves a requisite for several
tasks during the system's life cycle. The Model-Based Diagnosis (MBD) community has …
tasks during the system's life cycle. The Model-Based Diagnosis (MBD) community has …
Visual-FIR: A tool for model identification and prediction of dynamical complex systems
A new platform for the fuzzy inductive reasoning (FIR) methodology has been designed and
developed under the MATLAB environment. The new tool, named Visual-FIR, allows the …
developed under the MATLAB environment. The new tool, named Visual-FIR, allows the …
[PDF][PDF] Hybrid systems diagnosability by abstracting faulty continuous dynamics
M Bayoudh, L Travé-Massuyes, X Olive - Proc. of the 17th International …, 2006 - Citeseer
On-line model based reconfiguration is generally used to improve the ability of a system to
tolerate faults. Recovery after fault occurrence relies on allowing the system to proceed with …
tolerate faults. Recovery after fault occurrence relies on allowing the system to proceed with …