Application of Self-adaptive Cuckoo Search Algorithm for Bearing Fault Diagnosis
Application of Self-adaptive Cuckoo Search Algorithm for Bearing Fault Diagnosis is a scholarly work, published in 2018. The main subjects of the publication include cuckoo search, artificial intelligence, identification, artificial neural network, Cuculidae, control system, graph dimension, algorithm, fault, industrial control system, lock, bearing, computer science, and benchmark. The proposed SaCS is compared with several other algorithms on 14 benchmark functions, and the experimental results demonstrate that SaCS exhibits a better or comparable performance.