Jawad Ahmed Farooq, Tsarafidy Raminosoa, Abdesslem Djerdir and Abdellatif Miraoui
The purpose of this paper is to present a new model to study inter‐turn short circuit faults in a permanent magnet synchronous machine.
Abstract
Purpose
The purpose of this paper is to present a new model to study inter‐turn short circuit faults in a permanent magnet synchronous machine.
Design/methodology/approach
The machine is modeled by using classical two‐axis theory, and the equations are modified to take into account the stator inter‐turn faults. A state space form of the system is presented for dynamic simulations.
Findings
The machine model is global and can work in both normal and fault conditions due to a fictitious resistance in the winding circuit. Various simulation results have been presented indicating the fault instant and its corresponding effect. Validation is carried out by transient time finite element simulations.
Originality/value
The model can serve as a step towards development of fault detection and diagnosis algorithms.
Details
Keywords
Jawad Ahmed Farooq, Abdesslem Djerdir and Abdellatif Miraoui
The purpose of this paper is to present a novel method to identify demagnetization faults in the magnet of a permanent magnet synchronous machine (PMSM) using some externally…
Abstract
Purpose
The purpose of this paper is to present a novel method to identify demagnetization faults in the magnet of a permanent magnet synchronous machine (PMSM) using some externally measurable parameter.
Design/methodology/approach
The machine is modelled by using permeance network theory. The new feature introduced in the permeance network is the subdivision of magnets into segments, modelled as bidirectional elements. These bidirectional elements allow taking into account the effect of one element on the other. To detect the demagnetization faults, a gradient‐based algorithm is also developed. This algorithm uses the permeance network model of the PMSM and measurement data of some parameter to find the distribution of remanent induction in the magnet segments.
Findings
The methodology presented is able to detect the demagnetization fault using an external data. The measurement data in this paper is obtained through finite element simulations. The fast and accurate convergence of the algorithm makes the model to find its place in magnet fault diagnosis. Results for different magnet fault types have been presented.
Originality/value
This new approach to detect demagnetization fault can serve as a step towards development of better fault‐detection algorithms and fault‐tolerant control schemes.
Details
Keywords
Micaela Jaramillo-Arévalo, Aldo Alvarez-Risco, Myreya De-La-Cruz-Diaz, Maria de las Mercedes Anderson-Seminario and Shyla Del-Aguila-Arcentales
Science, Technology, Engineering, and Mathematics (STEM) education, its importance, and its difficulties have been defined. This chapter seeks to present the digital tools that…
Abstract
Science, Technology, Engineering, and Mathematics (STEM) education, its importance, and its difficulties have been defined. This chapter seeks to present the digital tools that have been used during the pandemic period and that have been focused on promoting STEM education at different levels. The efforts made by educational organizations worldwide are mentioned. Different regions are shown presenting the best experiences of digital tools that enhance the elements of STEM and can be extended to different levels of education from elementary school to university. On the other hand, successful experiences of the use of technological tools from the teachers' point of view are shown, depicting the tools that have worked the most during the process of adapting to online classes to devise a much better educational plan that continues to take advantage of digital tools for STEM education.