Industry 4.0 provides substantial opportunities to ensure a safer environment through online
monitoring, early detection of faults, and preventing the faults to failures transitions. Decision …

Fault diagnosis plays an important role in complex and safety-critical systems such as
nuclear power plants (NPPs). With the development of artificial intelligence (AI), extensive …

A general framework for constructing and using probabilistic models of complex systems that
would enable a computer to use available information for making decisions. Most tasks …

Fault diagnosis plays a vital role in ensuring safe and efficient operation of modern process
plants. Despite the encouraging progress in its research, develo** a reliable and …

The human figure exhibits complex and rich dynamic behavior that is both nonlinear and
time-varying. Effective models of human dynamics can be learned from motion capture data …

One of the essential benefits of swarm robotic systems is redundancy. In case one robot
breaks down, another robot can take steps to repair the failed robot or take over the failed …

This article presents a number of complementary algorithms for detecting faults on-board
operating robots, where a fault is defined as a deviation from expected behavior. The …

This paper describes how to exploit the modeling features and inference capabilities of
dynamic Bayesian networks (DBN), in designing and implementing an innovative approach …

Many real-world systems are naturally modeled as hybrid stochastic processes, ie,
stochastic processes that contain both discrete and continuous variables. Examples include …