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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
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 …
Performance of vibration and current signals in the fault diagnosis of induction motors using deep learning and machine learning techniques
Induction motors (IMs) play a pivotal role in various industrial applications, powering critical
systems such as pumps, compressors, fans, blowers, and refrigeration and air conditioning …
systems such as pumps, compressors, fans, blowers, and refrigeration and air conditioning …
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 …
Using Transfer Learning and Radial Basis Function Deep Neural Network Feature Extraction to Upgrade Existing Product Fault Detection Systems for Industry 4.0: A …
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 …
The process of identifying automobile joint failures during the operation phase: data analytics based on association rules
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 …
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) …