===============================================================
PyFaultDiagnosisToolbox - A Python toolbox for fault diagnosis
===============================================================
Fault Diagnosis Toolbox is a Python package for analysis and design of fault diagnosis systems for dynamic systems,
primarily described by differential-algebraic equations. Key features of the toolbox are extensive support for
structural analysis of large-scale dynamic models, fault isolability analysis, sensor placement analysis,
and code generation in C/C++ and Python.
The toolbox is an adaptation of our Matlab toolbox that can be downloaded from https://faultdiagnosistoolbox.github.io where you
can also find `documentation <https://faultdiagnosistoolbox.github.io/_releases/user-manual_2018-12-09.pdf>`_. The latest version of the python package can always be pip-installed.
For a quick introduction, see the `use case <https://faultdiagnosistoolbox.github.io/usecase/>`_ where an industrial
size example, an automotive engine, is analyzed, C-code for residual generators is generated, and the resulting
diagnosis system is evaluated on test-cell measurements from our engine laboratory.
If you use this toolbox in your research, please cite any relevant papers of ours, see list of
`references <https://faultdiagnosistoolbox.github.io/references>`_ for details.
The toolbox is freely available under a MIT license.
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"description": "===============================================================\nPyFaultDiagnosisToolbox - A Python toolbox for fault diagnosis\n===============================================================\nFault Diagnosis Toolbox is a Python package for analysis and design of fault diagnosis systems for dynamic systems, \nprimarily described by differential-algebraic equations. Key features of the toolbox are extensive support for \nstructural analysis of large-scale dynamic models, fault isolability analysis, sensor placement analysis, \nand code generation in C/C++ and Python.\n\nThe toolbox is an adaptation of our Matlab toolbox that can be downloaded from https://faultdiagnosistoolbox.github.io where you \ncan also find `documentation <https://faultdiagnosistoolbox.github.io/_releases/user-manual_2018-12-09.pdf>`_. The latest version of the python package can always be pip-installed.\n\nFor a quick introduction, see the `use case <https://faultdiagnosistoolbox.github.io/usecase/>`_ where an industrial \nsize example, an automotive engine, is analyzed, C-code for residual generators is generated, and the resulting \ndiagnosis system is evaluated on test-cell measurements from our engine laboratory.\n\nIf you use this toolbox in your research, please cite any relevant papers of ours, see list of \n`references <https://faultdiagnosistoolbox.github.io/references>`_ for details.\n\nThe toolbox is freely available under a MIT license. \n\n",
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