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 …
Artificial intelligence in prognostics and health management of engineering systems
Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …
management of engineering systems and structures, where sensor hardware and decision …
Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques
Y Shen, F Yang, MS Habibullah, J Ahmed… - Journal of Intelligent …, 2021 - Springer
The need to monitor tool wear is crucial, particularly in advanced manufacturing industries,
as it aims to maximise the lifespan of the cutting tool whilst guaranteeing the quality of …
as it aims to maximise the lifespan of the cutting tool whilst guaranteeing the quality of …
Tool wear prediction using long short-term memory variants and hybrid feature selection techniques
Tool wear prediction is a challenging aspect of the milling machine as the cutting tool is
responsible for the accuracy and precision of the final machined product. The accuracy of …
responsible for the accuracy and precision of the final machined product. The accuracy of …
Sequential fuzzy clustering based dynamic fuzzy neural network for fault diagnosis and prognosis
In recent years, increasing demands for more efficient high speed milling (HSM) processes
have propelled the application and development of more effective modeling methods and …
have propelled the application and development of more effective modeling methods and …
Techniques for apply predictive maintenance and remaining useful life: A systematic map** study
With prognostic activities, it is possible to predict the remaining useful life (RUL) of industrial
systems with high accuracy by following the current health status of devices. In this study, we …
systems with high accuracy by following the current health status of devices. In this study, we …
Differential evolution-based feature selection and parameter optimisation for extreme learning machine in tool wear estimation
WA Yang, Q Zhou, KL Tsui - International Journal of Production …, 2016 - Taylor & Francis
Cutting tool wear degrades the product quality in manufacturing processes. Hence, real-time
online estimation of tool wear is important for suggesting a tool replacement before the wear …
online estimation of tool wear is important for suggesting a tool replacement before the wear …
Robustification of the random forest: a multitude of decision trees for fault diagnosis of face milling cutter through measurement of spindle vibrations
Purpose Recognition of tool failure is an everlasting problem for the manufacturing industry,
which leads to diminishing productivity and quality of the product. Much research has been …
which leads to diminishing productivity and quality of the product. Much research has been …
Energy-based prognosis of the remaining useful life of the coating segments in hot rolling mill
The field of prognostic maintenance aims at predicting the remaining time for a system or
component to continue being used under the desired performance. This time is usually …
component to continue being used under the desired performance. This time is usually …
A survey on artificial intelligence-based modeling techniques for high speed milling processes
The process of high speed milling is regarded as one of the most sophisticated and
complicated manufacturing operations. In the past four decades, many investigations have …
complicated manufacturing operations. In the past four decades, many investigations have …