A state-of-the-art review on sensors and signal processing systems in mechanical machining processes
Sensors are the main equipment of the data-based enterprises for diagnosis of the health of
system. Offering time-or frequency-dependent systemic information provides prognosis with …
system. Offering time-or frequency-dependent systemic information provides prognosis with …
A review of machining monitoring systems based on artificial intelligence process models
Many machining monitoring systems based on artificial intelligence (AI) process models
have been successfully developed in the past for optimising, predicting or controlling …
have been successfully developed in the past for optimising, predicting or controlling …
Advanced monitoring of machining operations
CIRP has had a long history of research and publication on the development and
implementation of sensor monitoring of machining operations including tool condition …
implementation of sensor monitoring of machining operations including tool condition …
Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification
On-machine monitoring of tool wear in machining processes has found its importance to
reduce equipment downtime and reduce tooling costs. As the tool wears out gradually, the …
reduce equipment downtime and reduce tooling costs. As the tool wears out gradually, the …
Optimization and analysis of surface roughness, flank wear and 5 different sensorial data via tool condition monitoring system in turning of AISI 5140
Optimization of tool life is required to tune the machining parameters and achieve the
desired surface roughness of the machined components in a wide range of engineering …
desired surface roughness of the machined components in a wide range of engineering …
Multi-sensor data fusion framework for CNC machining monitoring
Reliable machining monitoring systems are essential for lowering production time and
manufacturing costs. Existing expensive monitoring systems focus on prevention/detection …
manufacturing costs. Existing expensive monitoring systems focus on prevention/detection …
The interpretive model of manufacturing: a theoretical framework and research agenda for machine learning in manufacturing
Manufacturing is undergoing a paradigmatic shift as it assimilates and is transformed by
machine learning and other cognitive technologies. A new paradigm usually necessitates a …
machine learning and other cognitive technologies. A new paradigm usually necessitates a …
An approach based on current and sound signals for in-process tool wear monitoring
This paper presents a tool condition monitoring system (TCMS) for on-line tool wear
monitoring in turning. The proposed TCMS was developed taking into account the …
monitoring in turning. The proposed TCMS was developed taking into account the …
A critical analysis of effectiveness of acoustic emission signals to detect tool and workpiece malfunctions in milling operations
The industrial demands for automated machining systems to increase process productivity
and quality in milling of aerospace critical safety components requires advanced …
and quality in milling of aerospace critical safety components requires advanced …
Machine learning approach for automated visual inspection of machine components
Visual inspection on the surface of components is a main application of machine vision.
Visual inspection finds its application in identifying defects such as scratches, cracks …
Visual inspection finds its application in identifying defects such as scratches, cracks …