ANFIS model based on fuzzy C‐mean , grid partitioning and subtractive clustering to detection of stator winding inter‐turn fault for PM synchronous motor-Reference-Cited by-同舟云学术

ANFIS model based on fuzzy C‐mean , grid partitioning and subtractive clustering to detection of stator winding inter‐turn fault for PM synchronous motor

Published:2021-01-11 Issue:3 Volume:31 Page:
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Mola Mahmood¹^ORCID,Amiri‐Ahouee Reihaneh²^ORCID

Affiliation:

1. Industrial Control Systems Laboratory, Department of Electrical Engineering, Faculty of Engineering Ayatollah Boroujerdi University Boroujerd Iran

2. Department of Electrical Engineering, Faculty of Engineering, Central Tehran Branch Islamic Azad University Tehran Iran

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12770

Reference43 articles.

1. On Optimizing the Aerodynamic Load Acting on the Turbine Shaft of PMSG-Based Direct-Drive Wind Energy Conversion System

2. Online Interturn Fault Diagnosis of Permanent Magnet Synchronous Machine Using Zero-Sequence Components

3. Nonlinear adaptive extended state space predictive control of permanent magnet synchronous motor

4. An improved nonlinear model predictive direct speed control of permanent magnet synchronous motors

5. Measurement of Magnet Losses in a Surface Mounted Permanent Magnet Synchronous Machine

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Method for Predicting Internal Defect Areas of Timber Components Based on an Adaptive Neuro-Fuzzy Inference System;International Journal of Architectural Heritage;2024-07-04

2. Metaheuristic Airflow control for vibration mitigation of a hybrid oscillating water Column-Floating offshore wind turbine system;Energy Conversion and Management: X;2024-07

3. Ensemble-Based Fault Diagnosis of Complex Industrial Process Using Novel Homogeneous Ensemble Classifiers;2024

4. Fault Diagnosis in Electric Machines and Propellers for Electrical Propulsion Aircraft: A Review;2024

5. Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids;Chemical Engineering Journal;2023-09