Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …
machinery. The majority of these machines comprise rotating components and are called …
Data-driven remaining useful life estimation for milling process: sensors, algorithms, datasets, and future directions
An increase in unplanned downtime of machines disrupts and degrades the industrial
business, which results in substantial credibility damage and monetary loss. The cutting tool …
business, which results in substantial credibility damage and monetary loss. The cutting tool …
[HTML][HTML] Sustainable development of smart manufacturing driven by the digital twin framework: A statistical analysis
The Fourth Industrial Revolution drives industries from traditional manufacturing to the smart
manufacturing approach. In this transformation, existing equipment, processes, or devices …
manufacturing approach. In this transformation, existing equipment, processes, or devices …
A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion
Rotating machines is an essential part of any manufacturing industry. The sudden
breakdown of such machines due to improper maintenance can also lead to the industries' …
breakdown of such machines due to improper maintenance can also lead to the industries' …
[HTML][HTML] A low-cost multi-sensor data acquisition system for fault detection in fused deposition modelling
Fused deposition modelling (FDM)-based 3D printing is a trending technology in the era of
Industry 4.0 that manufactures products in layer-by-layer form. It shows remarkable benefits …
Industry 4.0 that manufactures products in layer-by-layer form. It shows remarkable benefits …
[HTML][HTML] Fault detection in induction motor using time domain and spectral imaging-based transfer learning approach on vibration data
The induction motor plays a vital role in industrial drive systems due to its robustness and
easy maintenance but at the same time, it suffers electrical faults, mainly rotor faults such as …
easy maintenance but at the same time, it suffers electrical faults, mainly rotor faults such as …
[HTML][HTML] Enhancing surface fault detection using machine learning for 3D printed products
In the era of Industry 4.0, the idea of 3D printed products has gained momentum and is also
proving to be beneficial in terms of financial and time efforts. These products are physically …
proving to be beneficial in terms of financial and time efforts. These products are physically …
[HTML][HTML] Enhancing optical character recognition on images with mixed text using semantic segmentation
S Patil, V Varadarajan, S Mahadevkar… - Journal of Sensor and …, 2022 - mdpi.com
Optical Character Recognition has made large strides in the field of recognizing printed and
properly formatted text. However, the effort attributed to developing systems that are able to …
properly formatted text. However, the effort attributed to developing systems that are able to …
Performance evaluation for tool wear prediction based on Bi-directional, Encoder–Decoder and Hybrid Long Short-Term Memory models
Purpose Excessive tool wear is responsible for damage or breakage of the tool, workpiece,
or machining center. Thus, it is crucial to examine tool conditions during the machining …
or machining center. Thus, it is crucial to examine tool conditions during the machining …
[HTML][HTML] Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models
The milling machine serves an important role in manufacturing because of its versatility in
machining. The cutting tool is a critical component of machining because it is responsible for …
machining. The cutting tool is a critical component of machining because it is responsible for …