Motor fault diagnosis in dynamic condition is a typical multi-sensor data fusion problem. It
involves the use of information collected from multiple sensors, such as vibration, sound …

It is proposed in the paper the interval data fusion procedure intended for determination of
an interval to be consistent with maximal number of given initial intervals (not necessary …

In this paper, an efficient new hybrid approach for multiple sensor fusion and fault detection
is proposed, addressing the problem with multiple faults, which is based on conventional …

Miniaturized, distributed, networked sensors—called motes—promise to be smaller, less
expensive and more versatile than other sensing alternatives. While these motes may have …

Worldwide there is an increasing interest in the development of unmanned surface vehicles
(USVs). In order for such vehicles to undertake missions, they require accurate, robust, and …

This paper describes the development of an intelligent multi-sensor data fusion (MSDF)
system with fault tolerance for an unmanned surface vehicle (USV). A fuzzy logic adaptive …

Wireless sensor networks (WSNs) have recently extended application areas to numerous
sectors such as industrial automation, military applications, transportation systems, building …

This paper introduces a fuzzy sensor validation and fusion methodology and applies it to
sensor data from a gas turbine power plant. The FUSVAF (Fuzzy Sensor Validation and …

Soft Computing allowed developers at General Electric to maximize the benefits and
minimize the costs of the Decision Support Systems they have created. Soft Computing …