Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching

Table 3

Comparison of the proposed method and three existing methods for grid fault diagnosis.

Method	Processing of timing information	Consider uncertainty	Modeling form	Performance
Study [20]	Using time series matching method, making full use of time-scale information	No	Timing matching model	The calculation speed is fast but only considers the timing factor; too singular
Study [15]	Timing not considered	No	Fuzzy Petri nets model	High diagnostic efficiency; good fault tolerance; did not consider the impact of timing
Study [24]	Timing not considered	Yes	Intuitionistic Fuzzy Petri Nets Model	Full consideration of the impact of uncertain, incomplete information but does not take timing into account
The method of this paper	Using the time series matching method, making full use of time-scale information	Yes	Intuitionistic Fuzzy Petri Nets Model Based on Time Series Matching	Fully consider the timing information, and uncertain and incomplete information; better fault tolerance; precise fault diagnosis