Machine learning based fault detection approach to enhance quality control in smart manufacturing
EH Abualsauod - Production Planning & Control, 2023 - Taylor & Francis
In recent days the quickly changing manufacturing environment has pushed organizations to
accomplish more consumer satisfaction by improving item quality, lessening production cost …
accomplish more consumer satisfaction by improving item quality, lessening production cost …
[PDF][PDF] Fault Detection and Identification Using Deep Learning Algorithms in InductionMotors.
Owing to the 4.0 industrial revolution condition monitoring maintenance is widely accepted
as a useful approach to avoiding plant disturbances and shutdown. Recently, Motor Current …
as a useful approach to avoiding plant disturbances and shutdown. Recently, Motor Current …
A hybrid method based on deep learning and ensemble learning for induction motor fault detection using sound signals
S Shirdel, M Teimoortashloo, M Mohammadiun… - Multimedia Tools and …, 2024 - Springer
Fault detection in induction motors has an important role in saving costs in various
industries. Due to the wide range of faults in induction motors, using different electrical and …
industries. Due to the wide range of faults in induction motors, using different electrical and …
[HTML][HTML] Industrial AI in condition-based maintenance: A case study in wooden piece manufacturing
P Marti-Puig, IA Touhami, RC Perarnau… - Computers & Industrial …, 2024 - Elsevier
The article presents a case study applying industrial artificial intelligence to Condition-Based
Maintenance in a wooden piece manufacturing company. The study focuses on the …
Maintenance in a wooden piece manufacturing company. The study focuses on the …
[HTML][HTML] Detection of Inter-Turn Short Circuits in Induction Motors under the Start-Up Transient by Means of an Empirical Wavelet Transform and Self-Organizing Map
Due to the importance of induction motors in a wide variety of industrial processes, it is
crucial to properly identify abnormal conditions in order to avoid unexpected stops. The inter …
crucial to properly identify abnormal conditions in order to avoid unexpected stops. The inter …
Predictive maintenance for the optical synchronization system of the European XFEL: a systematic literature survey
The optical synchronization system of the European X-ray Free Electron Laser is a
networked cyber-physical system producing a large amount of data. To maximize the …
networked cyber-physical system producing a large amount of data. To maximize the …
[HTML][HTML] Using Transfer Learning and Radial Basis Function Deep Neural Network Feature Extraction to Upgrade Existing Product Fault Detection Systems for Industry …
CH Loh, YC Chen, CT Su - Applied Sciences, 2024 - mdpi.com
In the era of Industry 3.0, product fault detection systems became important auxiliary systems
for factories. These systems efficiently monitor product quality, and as such, substantial …
for factories. These systems efficiently monitor product quality, and as such, substantial …
[HTML][HTML] The process of identifying automobile joint failures during the operation phase: data analytics based on association rules
P Buyvol, I Makarova, A Voroshilov, A Krivonogova - Information, 2023 - mdpi.com
The increasing complexity of vehicle design, the use of new engine types and fuels, and the
increasing intelligence of automobiles are making it increasingly difficult to ensure trouble …
increasing intelligence of automobiles are making it increasingly difficult to ensure trouble …
[HTML][HTML] Analytical model of eccentric induction machines using the conformal winding tensor approach
C Terron-Santiago, J Martinez-Roman… - Sensors, 2022 - mdpi.com
Induction machines (IMs) are a critical component of many industrial processes, and their
failure can cause large economic losses. Condition-based maintenance systems (CBMs) …
failure can cause large economic losses. Condition-based maintenance systems (CBMs) …
Predictive Maintenance of Electromechanical Systems Using Deep Learning Algorithms
AM Abood, AR Nasser… - Ingénierie des Systèmes …, 2022 - search.ebscohost.com
Predictive Maintenance (PM) is a major part of smart manufacturing in the fourth industrial
revolution. The classical fault diagnosis approach for complex systems such as an …
revolution. The classical fault diagnosis approach for complex systems such as an …