Detection and diagnosis of rotor and stator faults in open end winding induction motor

Khadar, Saad; Ali, Thiziri Ben; Kouzou, Abdellah

doi:10.1109/icsresa49121.2019.9182560

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…The workflow of GSA in Matlab is as follows (see MATLAB documentation of R2017b): Evaluate the cost function at each parameters' value by Monte Carlo simulation (Aswad, 2020).…”

Section: Global Sensitivity Analysis In Matlabmentioning

confidence: 99%

“…The workflow of GSA in Matlab is as follows (see MATLAB documentation of R2017b): Sample generation: in this step, for each model’s parameters, multiple values are generated. Identify the requirement based on the model’s signals, i.e. state a cost function. Evaluate the cost function at each parameters’ value by Monte Carlo simulation (Aswad, 2020). Analyse the relationship between the evaluated cost function (the requirement) and the samples by using correlation, standardized regression and partial correlation. …”

Section: Global Sensitivity Analysis In Matlabmentioning

confidence: 99%

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Matlab sensitivity analysis toolbox: an application on faults identification in induction motors

Aswad

Jassim

2023

COMPEL

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Purpose This paper aims to introduce the usage of sensitivity analysis (SA) for the problem of faults identification in three-phase induction motors (IMs). These motors are susceptible to different kinds of faults that should be detected in a proper time to keep the systems working in a safety environment. Design/methodology/approach One of the effective approaches for faults identifications, which is presented in the literature, is a model-based strategy. This strategy mainly depends on using a software model to make an identification decision. Therefore, this work intends to examine the model sensitivity towards variables’ variation. The SA toolbox of Matlab R2017b package is used for this purpose since the Matlab software is a well-known environment, and it is easy for a nonstatistical person to deal with it. As a study case, open-circuit and stator inter-turn faults in the stator windings of a three-phase IM have been chosen. Findings The results show that the model-based strategy is considerably speed up by up to 30% when neglecting the trivial model’s parameters with the same accurate identification decision as compared with the results of this strategy without using the SA. Originality/value The novelty of this work is summarized in devoting the usage of SA in the field of faults identification to enhance the speed of final decision.

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“…The workflow of GSA in Matlab is as follows (see MATLAB documentation of R2017b): Evaluate the cost function at each parameters' value by Monte Carlo simulation (Aswad, 2020).…”

Section: Global Sensitivity Analysis In Matlabmentioning

confidence: 99%