NEW STATE IDENTIFICATION METHOD FOR ROTATING MACHINERY UNDER VARIABLE LOAD CONDITIONS BASED ON HYBRID ENTROPY FEATURES AND JOINT DISTRIBUTION ADAPTATION

New State Identification Method for Rotating Machinery under Variable Load Conditions Based on Hybrid Entropy Features and Joint Distribution Adaptation

Fault identification under variable operating conditions is a task of great importance and challenge for equipment health management.However, when dealing with this kind of issue, traditional fault diagnosis methods based on the assumption of the distribution coherence of the training and testing set are no longer applicable.In this paper, a novel

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Selectivity of timing: A meta-analysis of temporal processing in neuroimaging studies using activation likelihood estimation and reverse inference

Over the last few decades, many researchers have investigated time perception and how it is processed in the brain.Past studies have identified cortical and subcortical regions that play an important role in implicit and/or explicit timing tasks.In regard to timing, different regions appear to have roles of varying importance depending on Lubricant

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