International audienceThis paper presents a new approach to sensor placement based on diagnosability criteria. It is based on the study of structural matrices. Properties of structural matrices regarding detectability, discriminability and diagnosability are established in order to be used by sensor placement methods. The proposed approach manages any number of constraints modelled by linear or nonlinear equations and it does not require the design of analytical redundancy relations. Assuming that a constraint models a component and that the cost of the measurement of each variable is defined, a method determining sensor placements satisfying diagnosability specifications, where all the diagnosable, discriminable and detectable constraint s...
The success of any diagnosis strategy critically depends on the sensors measuring process variables....
Systems health management, and in particular fault diagno-sis, is important for ensuring safe, corre...
International audienceIn complex industrial plants, there are usually many sensors and the modeling ...
International audienceAdequate sensor placement is a necessary condition for efficient fault diagnos...
International audienceSuitable installed sensors in a industrial process is a necessary condition fo...
Suitable installed sensors in a industrial process is a necessary condition for fault diagnosis. Sen...
International audienceMaintenance and diagnosis of complex systems are common activities in the indu...
This work aims to study which sensors are required to be installed in a process in order to improve ...
Abstract: This paper presents a new algorithm for solving the sensor placement problem in order to a...
Adequate sensors are a necessary condition for fault diagnosability. Sensor placement for diagnosis ...
In this paper we describe an approach to solve the problem of sensor placement. Our approach is base...
In this paper we consider an approach to solve the problem of sensor placement. This approach is bas...
This dissertation investigates the sensor placement issue in a dynamic system for fault detectabilit...
peer reviewedThis work aims to study which sensors are required to be installed in a process in orde...
International audienceIn this work we propose to use an approach based on genetic algorithms to obta...
The success of any diagnosis strategy critically depends on the sensors measuring process variables....
Systems health management, and in particular fault diagno-sis, is important for ensuring safe, corre...
International audienceIn complex industrial plants, there are usually many sensors and the modeling ...
International audienceAdequate sensor placement is a necessary condition for efficient fault diagnos...
International audienceSuitable installed sensors in a industrial process is a necessary condition fo...
Suitable installed sensors in a industrial process is a necessary condition for fault diagnosis. Sen...
International audienceMaintenance and diagnosis of complex systems are common activities in the indu...
This work aims to study which sensors are required to be installed in a process in order to improve ...
Abstract: This paper presents a new algorithm for solving the sensor placement problem in order to a...
Adequate sensors are a necessary condition for fault diagnosability. Sensor placement for diagnosis ...
In this paper we describe an approach to solve the problem of sensor placement. Our approach is base...
In this paper we consider an approach to solve the problem of sensor placement. This approach is bas...
This dissertation investigates the sensor placement issue in a dynamic system for fault detectabilit...
peer reviewedThis work aims to study which sensors are required to be installed in a process in orde...
International audienceIn this work we propose to use an approach based on genetic algorithms to obta...
The success of any diagnosis strategy critically depends on the sensors measuring process variables....
Systems health management, and in particular fault diagno-sis, is important for ensuring safe, corre...
International audienceIn complex industrial plants, there are usually many sensors and the modeling ...