Effectiveness of Partition and Graph Theoretic Clustering Algorithms for Multiple Source Partial Discharge Pattern Classification Using Probabilistic Neural Network and Its Adaptive Version: A Critique Based on Experimental Studies

Table 8

Optimal centers obtained from HG algorithm for PD pattern classification.

Preprocessing technique	Number of optimal centers from; HG algorithm
	Electrode bounded cavity	Air corona	Oil corona	Multiple sources
	7.3 kV-26	14 kV-17	21 kV-18	7.3 kV-11
Φ-𝑞max-𝑛 (30°)	9.1 kV-13	21 kV-15	29.1 kV-17	9.1 kV-12
	9.6 kV-7	23 kV-8	32 kV-14	10 kV-17
	7.3 kV-6	14 kV-8	21 kV-15	7.3 kV-8
Φ-𝑞max-𝑛 (10°)	9.1 kV-16	21 kV-12	29.1 kV-16	9.1 kV-15
	9.6 kV-10	23 kV-10	32 kV-14	10 kV-17
	7.3 kV-12	14 kV-16	21 kV-12	7.3 kV-18
Φ-𝑞min-𝑛 (10°)	9.1 kV-18	21 kV-18	29.1 kV-13	9.1 kV-21
	9.6 kV-8	23 kV-17	32 kV-15	10 kV-17
	7.3 kV-9	14 kV-15	21 kV-17	7.3 kV-17
AM-GM-HM-RM (10°)	9.1 kV-26	21 kV-18	29.1 kV-17	9.1 kV-16
	9.6 kV-9	23 kV-17	32 kV-19	10 kV-15