Work

Fault identification of hydropower unit based on time–frequency feature map of vibration signals and Convrbm-ResNet

Year: 2024

Type: article

Source: Measurement Science and Technology

DOI: 10.1088/1361-6501/ad8811

Authors: Tingxi Chen, Jinbao Chen, Yidong Zou, Dong Liu, Wenqing Hu, Yang Zheng, Zhihuai Xiao

Institutions: Wuhan University, Xihua University

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hubei Province

Awards: G7026458583, G756269946

OpenAlex ID: W4403506855

FWCI: 0.314

Cites: 38

Cited by: 2

Related to: 10