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 …
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 …
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 …
Remaining useful life estimation using fault to failure transformation in process systems
The remaining useful life (RUL) plays a significant role in the predictive maintenance of
process systems. In recent years, data-driven approaches have been used to estimate the …
process systems. In recent years, data-driven approaches have been used to estimate the …
Machine learning methods for fault detection and diagnosis of digitalized processing system
R Arunthavanathan - 2022 - research.library.mun.ca
This thesis presents novel development and applications of machine learning techniques for
process fault detection, diagnosis, and prognosis from safety and predictive maintenance …
process fault detection, diagnosis, and prognosis from safety and predictive maintenance …