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 …

[PDF][PDF] Fault Detection and Identification Using Deep Learning Algorithms in InductionMotors.

M Hussain, TD Memon, I Hussain… - … in Engineering & …, 2022 - cdn.techscience.cn
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 …

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 …

[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 …

Performance of vibration and current signals in the fault diagnosis of induction motors using deep learning and machine learning techniques

S Ayankoso, A Dutta, Y He, F Gu… - Structural Health …, 2024 - journals.sagepub.com
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 …

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 …

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 …

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) …