He, You
Tang, Hesheng https://orcid.org/0000-0001-9810-9415
Ren, Yan https://orcid.org/0000-0001-7968-1328
Kumar, Anil
Funding for this research was provided by:
Wenzhou Major Science and Technology Innovation Project of China (ZG2020051)
ZheJiang Provincial Natural Science Foundation of China (No. LD21E050001)
Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems (GZKF-201719)
National Natural Science Foundation of China (No.51805376)
Article Title: A semi-supervised fault diagnosis method for axial piston pump bearings based on DCGAN
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2021 IOP Publishing Ltd
Publication dates
Date Received: 2021-05-18
Date Accepted: 2021-08-20
Online publication date: 2021-09-03