In this paper, we describe a general approach for detecting small changes, which can be applied to a wide class of nonlinear systems, and which can manage with a reduced order and biased signature of the monitored system. We show how to implement this general approach for solving a real problem, namely the monitoring of the combustion chambers of a gas turbine. Furthermore, we also describe a statistical method for solving the problem of diagnosing the detected changes in the combustion chambers
We present a change detection method for nonlinear stochastic systems based on particle filtering. W...
This paper describes the development and testing of a new algorithm to identify faulty sensors, base...
The work reported in this thesis is concerned with the Condition Monitoring by using Generalised Fre...
Techniques for early warning of slight changes in systems and plants are useful for condition based ...
This paper describes a sensitive technique for distinguishing changes in a nonlinear process. The me...
is often used as a measure of model accuracy. The ∆AIC statistic is defined by the difference betwee...
The aim of this work is to develop a new signal processing method for detecting chaos in time series...
This book is downloadable from http://www.irisa.fr/sisthem/kniga/. Many monitoring problems can be s...
Les systèmes de régulation des turbomoteurs actuels sont basés sur des architectures complexes que l...
In this paper a new method to analyze the micro-vibrational behavior of a complex dynamical system i...
In this dissertation, system identification methods are applied to characterize the dynamic system b...
Recent experiments reveal that even simple thermoacoustic systems may exhibit nonlinear behavior, fa...
In this paper a new method to analyze the micro-vibrational behavior of a complex dynamical system i...
Abstract. In this paper, we recall general methodologies we developed for observation and identifica...
Nonlinear processes display rich dynamics under both normal and abnormal conditions. These dynamics ...
We present a change detection method for nonlinear stochastic systems based on particle filtering. W...
This paper describes the development and testing of a new algorithm to identify faulty sensors, base...
The work reported in this thesis is concerned with the Condition Monitoring by using Generalised Fre...
Techniques for early warning of slight changes in systems and plants are useful for condition based ...
This paper describes a sensitive technique for distinguishing changes in a nonlinear process. The me...
is often used as a measure of model accuracy. The ∆AIC statistic is defined by the difference betwee...
The aim of this work is to develop a new signal processing method for detecting chaos in time series...
This book is downloadable from http://www.irisa.fr/sisthem/kniga/. Many monitoring problems can be s...
Les systèmes de régulation des turbomoteurs actuels sont basés sur des architectures complexes que l...
In this paper a new method to analyze the micro-vibrational behavior of a complex dynamical system i...
In this dissertation, system identification methods are applied to characterize the dynamic system b...
Recent experiments reveal that even simple thermoacoustic systems may exhibit nonlinear behavior, fa...
In this paper a new method to analyze the micro-vibrational behavior of a complex dynamical system i...
Abstract. In this paper, we recall general methodologies we developed for observation and identifica...
Nonlinear processes display rich dynamics under both normal and abnormal conditions. These dynamics ...
We present a change detection method for nonlinear stochastic systems based on particle filtering. W...
This paper describes the development and testing of a new algorithm to identify faulty sensors, base...
The work reported in this thesis is concerned with the Condition Monitoring by using Generalised Fre...