Review Article
A Multi-Index Generative Adversarial Network for Tool Wear Detection with Imbalanced Data
Table 2
Multi-index decision-making algorithm.
| Algorithm 2 | Require: mean of -norm, CORT, fake-level score of normal signals, and fake-level score of | the generated signal, denoted as , , , and . Standard deviation of -norm, | CORT, fake-level score of normal signals, and fake-level score of the generated signal, denoted as | , , , and . Input signals , pretrained Generator , and pretrained | Generator . | (1) Invert to the latent space to search noises using Algorithm 1. | (2) Generate a batch of signals: . | (3) Calculate the -norm and CORT between and based on (4) and (5). | (4) Compute the fake-level scores of and , i.e., and , based on the discriminator | (5) Subtract thresholds: | (6) | (7) | (8) | (9) | (10) Scale the indexes: | (11) | (12) | (13) | (14) | (15) Combine the indexes: | (16) | (17) If: | (18) Input signals are normal. | (19) Else: | (20) Input signals are abnormal. |
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