Fault Detection and Isolation Tools (FDITOOLS) User's Guide
For researchers and engineers in fault diagnosis, this toolbox offers a practical implementation of established synthesis methods, but it is an incremental contribution as it packages existing algorithms.
This paper presents FDITOOLS, a MATLAB toolbox for fault detection and isolation filter synthesis, implementing algorithms from a 2017 book. It provides a user guide with mathematical background, command syntax, and examples.
The Fault Detection and Isolation Tools (FDITOOLS) is a collection of MATLAB functions for the analysis and solution of fault detection and model detection problems. The implemented functions are based on the computational procedures described in the Chapters 5, 6 and 7 of the book: "A. Varga, Solving Fault Diagnosis Problems - Linear Synthesis Techniques, Springer, 2017". This document is the User's Guide for the version V1.0 of FDITOOLS. First, we present the mathematical background for solving several basic exact and approximate synthesis problems of fault detection filters and model detection filters. Then, we give in-depth information on the command syntax of the main analysis and synthesis functions. Several examples illustrate the use of the main functions of FDITOOLS.