Nature-inspired computing is a type of human-designed computing motivated by nature,
which is based on the employ of paradigms, mechanisms, and principles underlying natural …

Compared with conventional methods of fault diagnosis for power transformers, which have
defects such as imperfect encoding and too absolute encoding boundaries, this paper …

Spiking neural P (SNP) systems are a class of neural-like computing models, abstracted by
the mechanism of spiking neurons. This article proposes a new variant of SNP systems …

This paper proposes a graphic modeling approach, fault diagnosis method based on fuzzy
reasoning spiking neural P systems (FDSNP), for power transmission networks. In FDSNP …

Fault diagnosis is an important topic both in practice and research. There is intense pressure
on industrial systems to continue reducing unscheduled downtime, performance …

This paper focuses on power system fault diagnosis based on Weighted Corrective Fuzzy
Reasoning Spiking Neural P Systems with real numbers (rWCFRSNPSs) to propose a …

Spiking Neural P Systems are Neural System models characterized by the fact that each
neuron mimics a biological cell and the communication between neurons is based on …

Imprecision and uncertainty in the alarm messages may significantly affect the accuracy and
reliability of substation fault diagnosis results. To deal with that, a new rough set-based bio …

Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP)
system rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant …

This paper proposes a new variant of spiking neural P systems (in short, SNP systems),
nonlinear spiking neural P systems (in short, NSNP systems). In NSNP systems, the state of …