Thermographic fault diagnosis of electrical faults of commutator and induction motors
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Thermographic fault diagnosis of electrical faults of commutator and induction motors
Authors
Keywords
-
Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 121, Issue -, Pages 105962
Publisher
Elsevier BV
Online
2023-03-07
DOI
10.1016/j.engappai.2023.105962
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Ventilation Diagnosis of Angle Grinder Using Thermal Imaging
- (2021) Adam Glowacz SENSORS
- Information Fusion of Infrared Images and Vibration Signals for Coupling Fault Diagnosis of Rotating Machinery
- (2021) Tangbo Bai et al. SHOCK AND VIBRATION
- A Short-Term Wind Speed Forecasting Model Based on a Multi-Variable Long Short-Term Memory Network
- (2021) Anqi Xie et al. Atmosphere
- Short-Term Solar Power Forecasting: A Combined Long Short-Term Memory and Gaussian Process Regression Method
- (2021) Ying Wang et al. Sustainability
- k-Nearest Neighbor Learning with Graph Neural Networks
- (2021) Seokho Kang Mathematics
- Data-driven early fault diagnostic methodology of permanent magnet synchronous motor
- (2021) Baoping Cai et al. EXPERT SYSTEMS WITH APPLICATIONS
- Technology development and commercial applications of industrial fault diagnosis system: a review
- (2021) Chengze Liu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Thermographic Fault Diagnosis of Ventilation in BLDC Motors
- (2021) Adam Glowacz SENSORS
- RBFNN Design Based on Modified Nearest Neighbor Clustering Algorithm for Path Tracking Control
- (2021) Dongxi Zheng et al. SENSORS
- Induction motor condition monitoring using infrared thermography imaging and ensemble learning techniques
- (2021) Amine Mahami et al. Advances in Mechanical Engineering
- Deep Historical Long Short-Term Memorys for Action Recognition
- (2020) Jiaxin Cai et al. NEUROCOMPUTING
- A Combination Strategy of Feature Selection Based on an Integrated Optimization Algorithm and Weighted K-Nearest Neighbor to Improve the Performance of Network Intrusion Detection
- (2020) Hui Xu et al. Electronics
- Electrical fault detection in three-phase induction motor using deep network-based features of thermograms
- (2020) Majid Khanjani et al. MEASUREMENT
- Short-Term Load Forecasting of Microgrid via Hybrid Support Vector Regression and Long Short-Term Memory Algorithms
- (2020) Arash Moradzadeh et al. Sustainability
- Verification of the technical equipment degradation method using a hybrid reinforcement learning trees–artificial neural network system
- (2020) Jakub Gajewski et al. TRIBOLOGY INTERNATIONAL
- An efficient acoustic-based diagnosis of inter-turn fault in interior mount LSPMSM
- (2020) Luqman S. Maraaba et al. APPLIED ACOUSTICS
- A hybrid deep-learning model for fault diagnosis of rolling bearings
- (2020) Yang Xu et al. MEASUREMENT
- A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems
- (2019) Baoshan Huang et al. Energies
- Three-phase induction motor fault detection based on thermal image segmentation
- (2019) Ammar K. Al-Musawi et al. INFRARED PHYSICS & TECHNOLOGY
- Flash Flood Forecasting Based on Long Short-Term Memory Networks
- (2019) Tianyu Song et al. Water
- Thermography based Methodology for Multi-fault Diagnosis on Kinematic Chain
- (2018) Miguel Delgado et al. IEEE Transactions on Industrial Informatics
- Infrared thermography based diagnosis of inter-turn fault and cooling system failure in three phase induction motor
- (2017) Gurmeet Singh et al. INFRARED PHYSICS & TECHNOLOGY
- A novel intelligent fault diagnosis method for electrical equipment using infrared thermography
- (2015) Hui Zou et al. INFRARED PHYSICS & TECHNOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now