This paper proposes a novel intelligent fault diagnosis method IWMMD for rotating machinery under the partial do- main adaptation diagnosis scenario. In IWMMD, ...
Instance Weighting-Based Partial Domain Adaptation for Intelligent ...
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May 18, 2023 · This article proposes a novel diagnosis method named instance weighted maximum mean discrepancy (IWMMD).
Focusing on this scenario, this paper proposes a novel diagnosis method named instance weighted mean maximum discrepancy (IWMMD). A new weighting mechanism ...
In this paper, we propose a novel digital twin-driven approach for implementing fault diagnosis of rolling bearings with insufficient training data.
A novel diagnosis method named instance weighted maximum mean discrepancy (IWMMD) is proposed, which can reduce the negative transfer effects caused by ...
A high-resolution time-frequency analysis technique based on bi-directional squeezing and its application in fault diagnosis of rotating machinery. Yunlong ...
Apr 1, 2021 · We propose a partial transfer fault diagnosis model based on a weighted subdomain adaptation network (WSAN) in this paper.
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What is fault detection and diagnosis of rotating machinery?
What is fault diagnosis of machinery?
A deep transfer learning method is proposed for rotating machinery fault diagnosis in this study, where subdomain adaptation and adversarial learning are ...
This research provides a reliable fault diagnosis method for detecting the health status of rotating machinery equipment, promoting the application of domain ...
This paper presents a deep multi-source adversarial discrepancy matching adaptation network (MADMAN) for enhancing the accuracy of cross-domain intelligent ...