Human Activity Recognition (HAR) simply refers to the capacity of a machine to perceive
human actions. HAR is a prominent application of advanced Machine Learning and Artificial …

Among the various reason behind Non-technical losses in smart grid, losses due to
electricity theft have become major apprehension in power system industries. A significant …

With the ever-progressing development in the field of computational and analytical science
the last decade has seen a big improvement in the accuracy of electroencephalography …

Intelligent fault diagnosis algorithm for rolling bearings has received increasing attention.
However, in actual industrial environments, most rolling bearings work under severe …

The timely detection of equipment failure can effectively avoid industrial safety accidents.
The existing equipment fault diagnosis methods based on single-mode signal not only have …

This paper studied two useful vibration signal processing methods for detection and
diagnosis of wheel flats. First, the cepstrum analysis method combined with order analysis …

Electric motors perform the crucial task of converting electrical energy into essential
mechanical energy on demand. Motors are plentifully used in the industrial sector all over …

Anatomization of EMG signals is one of the building blocks of modern prostheses. As the
goal is to build robotic arms whose functions are identical to the natural ones, EMG signals …

The number of diabetic patients is increasing rapidly every year all around the world, and
the worst fact is that these patients suffer from a wide range of physical conditions directly …

Induction motor (IM) plays a significant role in the production sectors, owing to its high
durability, rugged nature, high efficiency and low cost. Electrical motor condition monitoring …