Fault Diagnosis Method for Variable Operating Condition Bearings Based on Confusing Distillation of Multi-Source Domains
To address the problems such as the lack of sufficient marker fault samples under the new condition and the difference in signal distribution,A fault diagnosis method for variable operating condition bearings based on confusing distillation of multi-source domains was proposed.The method involving the idea of domain obfuscation was integrated into the multi-teacher knowledge distillation.Firstly,the extracted features in the process of distil-ling each other was obfuscated in each source domain model and source domain invariant information was extracted while source domain specific information was suppressed.Then,all source domain invariant information was inte-grated by distilling in the target domain model.Finally,the target domain data was used for model migration in or-der to effectively solve the problem of unstable effect when migrating multiple source domains.It is experimentally verified that the proposed method can diagnosis fault in the data of the target working condition through multiple known working condition data with high accuracy.
variable working conditionsknowledge distillationmulti-source domain migrationdomain obfusca-tionfault diagnosis
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