Abstract Multi-Source Information Fusion (MSIF) is a comprehensive and interdisciplinary
subject, and is referred to as, multi-sensor information fusion which was originated in the …

Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in
industrial processes. In particular, bearings are mechanical components used in most …

The “curse of dimensionality” and the high computational cost have still limited the
application of the evolutionary algorithm in high-dimensional feature selection (FS) …

As the rolling bearings being the key part of rotary machine, its healthy condition is quite
important for safety production. Fault diagnosis of rolling bearing has been research focus …

The “curse of dimensionality” is one of the largest problems that influences the quality of the
optimization process in most data mining, pattern recognition, and machine learning tasks …

Using multi-source sensing data based on the Internet of Things (IoT) with artificial
intelligence and big data processing technology to achieve predictive maintenance of …

Bearings are one of the most widespread components used for energy transformation in
machines. Mechanical wear and faulty bearings reduce the efficiency of rotating machines …

Remaining useful life (RUL) prediction of machining tools is a typical multi-sensor
information fusion problem. It involves the use of the monitoring information acquired from …

In this paper, a new image segmentation method is proposed by combining the FCM
clustering algorithm with a rough set theory. First, the attribute value table is constructed …

Bearings are fundamental mechanical components in rotary machines (engines, gearboxes,
generators, radars, turbines, etc.) that have been identified as one of the primary causes of …