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Thomas J Overbye - One of the best experts on this subject based on the ideXlab platform.

  • feature extraction and visualization of power System transient stability results
    IEEE Transactions on Power Systems, 2014
    Co-Authors: S Dutta, Thomas J Overbye
    Abstract:

    Transient stability simulation studies of large-scale power Systems often generate large amounts of data. This can make it difficult for power System planners to understand the overall System response or to identify portions of the System with unusual signals. In this paper we present a novel approach that utilizes clustering to extract common features in the voltage magnitude and frequency response signals, and to identify outliers. The geographic visualization of the results is also discussed. Results are demonstrated using the IEEE 118-bus System and a 16 000-bus Real-World System model.

Ahmed Kacem - One of the best experts on this subject based on the ideXlab platform.

  • Generating Reusable, Searchable and Executable "Architecture Constraints as Services
    Journal of Systems and Software, 2017
    Co-Authors: Sahar Kallel, Bastien Tramoni, Chouki Tibermacine, Christophe Dony, Ahmed Kacem
    Abstract:

    Architecture constraints are components of design documentation. They enable designers to enforce rules that architecture descriptions should respect. Many Systems make it possible to associate constraints to models at design stage but very few enable their association to code at implementation stage. When possible, this is done manually, which is a tedious, error prone and time consuming task. Therefore, we propose in this work a process to automatically generate executable constraints associated to programs' code from model-based constraints. First, the process translates the constraints specified at design-time into constraint-components described with an ADL, called CLACS. Then, it creates constraint-services which can be registered and later invoked to check their embedded constraints on component-and service-based applications. We chose to target components and services in order to make architecture constraints reusable, searchable in registries, customizable and checkable at the implementation stage. The generated constraint-services use the standard reflective (meta) layer provided by the programming language to introspect elements of the architecture. We experimented our work on a set of 15 architecture constraints and on a Real-World System in order to evaluate the effectiveness of the process.

S Dutta - One of the best experts on this subject based on the ideXlab platform.

  • feature extraction and visualization of power System transient stability results
    IEEE Transactions on Power Systems, 2014
    Co-Authors: S Dutta, Thomas J Overbye
    Abstract:

    Transient stability simulation studies of large-scale power Systems often generate large amounts of data. This can make it difficult for power System planners to understand the overall System response or to identify portions of the System with unusual signals. In this paper we present a novel approach that utilizes clustering to extract common features in the voltage magnitude and frequency response signals, and to identify outliers. The geographic visualization of the results is also discussed. Results are demonstrated using the IEEE 118-bus System and a 16 000-bus Real-World System model.

Sahar Kallel - One of the best experts on this subject based on the ideXlab platform.

  • Generating Reusable, Searchable and Executable "Architecture Constraints as Services
    Journal of Systems and Software, 2017
    Co-Authors: Sahar Kallel, Bastien Tramoni, Chouki Tibermacine, Christophe Dony, Ahmed Kacem
    Abstract:

    Architecture constraints are components of design documentation. They enable designers to enforce rules that architecture descriptions should respect. Many Systems make it possible to associate constraints to models at design stage but very few enable their association to code at implementation stage. When possible, this is done manually, which is a tedious, error prone and time consuming task. Therefore, we propose in this work a process to automatically generate executable constraints associated to programs' code from model-based constraints. First, the process translates the constraints specified at design-time into constraint-components described with an ADL, called CLACS. Then, it creates constraint-services which can be registered and later invoked to check their embedded constraints on component-and service-based applications. We chose to target components and services in order to make architecture constraints reusable, searchable in registries, customizable and checkable at the implementation stage. The generated constraint-services use the standard reflective (meta) layer provided by the programming language to introspect elements of the architecture. We experimented our work on a set of 15 architecture constraints and on a Real-World System in order to evaluate the effectiveness of the process.

Pierrick Lotton - One of the best experts on this subject based on the ideXlab platform.

  • Nonlinear System Identification Using Exponential Swept-Sine Signal
    IEEE Transactions on Instrumentation and Measurement, 2010
    Co-Authors: Antonin Novak, L. Simon, Frantisek Kadlec, Pierrick Lotton
    Abstract:

    In this paper, we propose a method for nonlinear System (NLS) identification using a swept-sine input signal and based on nonlinear convolution. The method uses a nonlinear model, the non-parametric generalized polynomial Hammerstein model made of power series associated with linear filters. Simulation results show that the method identifies the nonlinear model of the System under test and estimates the linear filters of the unknown NLS. The method has been also tested on a Real-World System: an audio limiter. Once the nonlinear model of the limiter is identified, a test signal can be regenerated to compare the outputs of both the Real-World System and its nonlinear model. The results show good agreement between both model-based and Real-World System outputs.

  • Nonlinear System Identification Using Exponential Swept-Sine Signal
    IEEE Transactions on Instrumentation and Measurement, 2010
    Co-Authors: Antonin Novak, L. Simon, Frantisek Kadlec, Pierrick Lotton
    Abstract:

    In this paper, we propose a method for nonlinear System (NLS) identification using a swept-sine input signal and based on nonlinear convolution. The method uses a nonlinear model, namely, the nonparametric generalized polynomial Hammerstein model made of power series associated with linear filters. Simulation results show that the method identifies the nonlinear model of the System under test and estimates the linear filters of the unknown NLS. The method has also been tested on a Real-World System: an audio limiter. Once the nonlinear model of the limiter is identified, a test signal can be regenerated to compare the outputs of both the Real-World System and its nonlinear model. The results show good agreement between both model-based and Real-World System outputs.