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Table 10 Regulator results of gradient ascent algorithm

From: A Fast Multi-tasking Solution: NMF-Theoretic Co-clustering for Gear Fault Diagnosis under Variable Working Conditions

Dataset

Initial (\(\lambda\), \(d\))

Number of iterations

Final (\(\lambda\), \(d\))

Precision of row task (%)

Varying rotating speed

(0.5, 500)

21

(0.46, 156)

99.3

(0.5, 200)

6

(0.46, 158)

99.3

(0.7, 500)

8

(0.80, 406)

90.5

(0.7, 200)

14

(0.80, 411)

91.4

Varying load

(0.5, 500)

14

(0.60, 296)

97.0

(0.5, 200)

9

(0.60, 285)

96.9

(0.7, 500)

13

(0.64, 296)

97.0

(0.7, 200)

8

(0.64, 279)

96.3