International audienceDistributed 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. This paper presents a distributed diagnosis framework for continuous systems that only requires the knowledge of local models and limited knowledge of their neighboring subsystems. We introduce the notion of Fault-Driven Minimal Structurally Overdetermined (FMSO) set as the corner stone of the design of residual generators. We show that all the FMSO sets of the global system can be obtained in a distributed manner from so-called shared FMSO sets and shared CMSO sets that are computed along a structural approach for every local site
In this paper, new results on distributed fault diagnosis of continuous{time nonlinear systems with ...
In this paper, some new results on distributed fault diagnosis of continuous--time nonlinear systems...
In a large distributed system it is often infeasible or even impossible to perform diagnosis using a...
International audienceDistributed diagnosis is important for on-board systems as a way to reduce com...
International audienceDistributed diagnosis is important for complex systems as a way to reduce comp...
The presentation shows the application of the theory of structural analysis for the design of distri...
International audienceCentralized fault diagnosis architectures are sometimes prohibitive for large-...
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The increasing complexity and size of cyber-physical systems (e.g., aircraft, manufacturing processe...
The recent development of technological systems implies a high complexity of behaviors for today’s ...
In this paper, we present a unified framework for distributed diagnosis. We first introduce the conc...
This paper presents a framework for distributed fault detection and isolation in dynamic systems. Ou...
Complex engineering systems require efficient fault diagnosis methodologies, but centralized ap-proa...
International audienceIn model-based diagnosis (MBD), structural models can provide useful informati...
We propose a simple structure which provides optimal system-level fault diagnosis. Each unit of a sy...
In this paper, new results on distributed fault diagnosis of continuous{time nonlinear systems with ...
In this paper, some new results on distributed fault diagnosis of continuous--time nonlinear systems...
In a large distributed system it is often infeasible or even impossible to perform diagnosis using a...
International audienceDistributed diagnosis is important for on-board systems as a way to reduce com...
International audienceDistributed diagnosis is important for complex systems as a way to reduce comp...
The presentation shows the application of the theory of structural analysis for the design of distri...
International audienceCentralized fault diagnosis architectures are sometimes prohibitive for large-...
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The increasing complexity and size of cyber-physical systems (e.g., aircraft, manufacturing processe...
The recent development of technological systems implies a high complexity of behaviors for today’s ...
In this paper, we present a unified framework for distributed diagnosis. We first introduce the conc...
This paper presents a framework for distributed fault detection and isolation in dynamic systems. Ou...
Complex engineering systems require efficient fault diagnosis methodologies, but centralized ap-proa...
International audienceIn model-based diagnosis (MBD), structural models can provide useful informati...
We propose a simple structure which provides optimal system-level fault diagnosis. Each unit of a sy...
In this paper, new results on distributed fault diagnosis of continuous{time nonlinear systems with ...
In this paper, some new results on distributed fault diagnosis of continuous--time nonlinear systems...
In a large distributed system it is often infeasible or even impossible to perform diagnosis using a...