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 …

Power transmission networks play an important role in smart girds. Fast and accurate faulty‐
equipment identification is critical for fault diagnosis of power systems; however, it is rather …

The fault diagnosis for hydroelectric generator unit (HGU) is significant to prevent dangerous
accidents from occurring and to improve economic efficiency. The faults of HGU involve …

In this paper, a rough set (RS) and fuzzy wavelet neural network (FWNN), integrated with
least square weighted fusion algorithm based fault diagnosis for power transformers, using …

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 …

As an important variant of membrane computing models, fuzzy reasoning spiking neural P
systems (FRSN P systems) were introduced to build a link between P systems and fault …

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 …

Bad meteorological conditions may reduce the reliability of power communication
equipment, which can increase the distortion possibility of fault information in the …

To effectively deal with the operating uncertainties of protective relays and circuit breakers
existing in the power system faults, an improved fault section diagnosis (FSD) method is …

It is a challenge problem how to deal with the uncertainty in fault diagnosis of power
systems. To solve the challenge problem, this paper introduces an interval-valued fuzzy …