Work

Machinery Health Monitoring Based on Unsupervised Feature Learning via Generative Adversarial Networks

Year: 2020

Type: article

Source: IEEE/ASME Transactions on Mechatronics

DOI: 10.1109/tmech.2020.3012179

Authors: Jun Dai, Jun Wang, Weiguo Huang, Juanjuan Shi, Zhongkui Zhu

Institution: Soochow University

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Jiangsu Province

Awards: G174905080, G2724876936, G4784590698, G7661126425

OpenAlex ID: W3046248607

FWCI: 5.836

Cites: 45

Cited by: 84

Related to: 10