This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.

Search

Filter

Author / Creator / Contributor

1Rao, Meng

Subject / Keyword

1Deep learning
1Fault diagnosis
1Rotating machinery
1Varying speed condition

Collections

1Graduate and Postdoctoral Studies (GPS), Faculty of
1Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations

Year

Languages

1English

Item type

1Thesis

Departments

1Department of Mechanical Engineering

Supervisors

1Tian, Zhigang (Mechanical Engineering)
1Zuo, Ming J (Mechanical Engineering)

Development of deep learning-based methods for rotating machinery fault diagnosis under varying speed conditions
Download

Spring 2023

Rao, Meng

Rotating machines are widely used in industrial applications, such as driving motors in elevators and gearboxes in wind turbines. Machines in these applications often operate under varying speed conditions due to variable operation demand, ever-changing environment conditions and so on. As time...

1 - 1 of 1

Search

Items (1)

Collections

Communities

Development of deep learning-based methods for rotating machinery fault diagnosis under varying speed conditions