Evolutionary approach to centralized multiple-faults diagnostics is extended to distributed
transducer networks monitoring large experimental systems. Given a set of anomalies …

When supporting commercial or defense systems such as aircraft avionics, guidance and
control, electronic warfare, or propulsion systems, a perennial challenge is providing …

Monitoring the state of the facilities and detecting any technical defects in the smart factory is
critical. As the industry advances, technical systems get more advanced. The more …

A swarm intelligence-based approach to multiple-fault diagnostics for industrial applications
is proposed. Drawbacks of swarm-based algorithms in heuristic search strategy related to …

In this paper, we present a system-level fault identification algorithm, using a parallel genetic
algorithm, for diagnosing faulty nodes in large heterogeneous systems. The algorithm is …

The distributed configuration is an effective approach for implementing Hotelling's T 2 test to
detect faults in large-scale systems. Multiple T 2 tests are employed in the distributed …

As faults are unavoidable in large scale multiprocessor systems, it is important to be able to
determine which units of the system are working and which are faulty. System-level …

Abstract− A swarm-intelligence solution to industrial problems of automatic multiple-faults
diagnostics is proposed. In particular, drawbacks of swarm-based algorithms in heuristic …

Health monitoring of current complex systems significantly impacts the total cost of the
system. Centralized fault diagnosis architectures are sometimes prohibitive for large-scale …

Complex engineering systems require efficient online fault diagnosis methodologies to
improve safety and reduce maintenance costs. In complex systems, faults may occur in the …