Partial domain adaptation ProtoNet: A partial transfer meta-learning framework for cross-domain fault diagnosis with limited labeled data
Cross-domain fault diagnosis is essential for rotating machinery operating under variable working conditions, where the distribution of target-domain data often differs from that of the training data. However, most existing domain adaptation methods rely on sufficient training samples and assume that the source and tar...