Improved fault diagnosis algorithm based on artificial immune network model and neighbourhood rough set theory
Abstract With the aim to identify new fault diagnosis and advanced robotic systems, this paper first proposes a fault diagnosis algorithm based on an artificial immune network model that can adjust the pruning threshold. Secondly, the algorithm is improved based on neighbourhood rough set theory, in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-12-01
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| Series: | Cognitive Computation and Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ccs2.12026 |