Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve
zero-defect smart manufacturing. The most fundamental systems in manufacturing industries …

Increasingly strict fuel efficiency standards have driven the aerospace and automotive
industries to improve the fuel economy of their fleets. A key method for feasibly improving the …

Manufacturers have faced an increasing need for the development of predictive models that
predict mechanical failures and the remaining useful life (RUL) of manufacturing systems or …

In modern manufacturing industry, tool wear monitoring plays a significant role in ensuring
product quality and machining efficiency. Numerous data-driven models based on deep …

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 …

The tool wear monitoring (TWM) system which can estimate the tool wear state and predict
remaining useful life (RUL) of the tool plays an important role in micro-milling because of the …

In order to realize real-time and accurate monitoring of the tool wear in machining process,
this paper presents a tool wear predictive model based on the integrated radial basis …

Data-driven methods for remaining useful life (RUL) prediction normally learn features from
a fixed window size of a priori of degradation, which may lead to less accurate prediction …

Since tool wear during machining process imposes a significant limitation on production
quality as well as efficiency, on-line tool wear monitoring (TWM) is one of considerably …

Tool wear is an important factor that influence machining precision and part quality in high
speed milling, and it is essential to seek a convenient method to monitor and predict tool …