This paper offers a review of the artificial intelligence (AI) algorithms and applications
presently being used for smart machine tools. These AI methods can be classified as …

Acoustic Emission technique is a successful method in machinery condition monitoring and
fault diagnosis due to its high sensitivity on locating micro cracks in high frequency domain …

The subject of machine condition monitoring and fault diagnosis as a part of system
maintenance has gained a lot of interest due to the potential benefits to be learned from …

Machinery condition monitoring has become one of the essential components in the industry
due to the ability of providing insight to the machine condition during operation as well as …

In recent years, early fault detection and diagnosis of gears have become extremely
important due to requirement to decrease the downtime on production machinery caused by …

Rotating machinery like turbines, generators, pumps, gearboxes, motors, etc. are widely
used in industrial applications. For keeping such machines in working condition all the time …

Rotary machines play a vital role in the industrial life. The monitoring process of rotating
machines has three primary benefits Prediction, detection and fault diagnosis. Artificial …

Neural Network regression (NNR) is considered more effective as compared to multiple
neural networks model readily available in Azure to evaluate the Remaining Useful Life …

The demand for cost effective, reliable and safe machinery operation requires accurate fault
detection and classification. These issues are of paramount importance as potential failures …

The research in ultrasonic machining is a never-ending process. New discoveries lead to
new devices and applications. And they request additional research to fully understand their …