Work

Algorithmic performance constraints for wind turbine condition monitoring via convolutional sparse coding with dictionary learning

Year: 2021

Type: article

Source: Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability

DOI: 10.1177/1748006x20984260

Authors: Sergio Martin-del-Campo, Fredrik Sandin, Stephan Schnabel

Institutions: Luleå University of Technology, SKF (Sweden)

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: Kempe Foundation

Award: G3694617818

OpenAlex ID: W3122957543

FWCI: 0.282

Cites: 41

Cited by: 4

Related to: 10