Work

Uncertainties of Data-Driven Models: Theory and Application to Condition Monitoring

Year: 2025

Type: article

Source: IEEE Transactions on Instrumentation and Measurement

DOI: 10.1109/tim.2025.3580883

Authors: Yun-Peng Zhu, Zepeng Liu, Zi-Qiang Lang, Hatim Laalej

Institutions: Queen Mary University of London, Newcastle University, University of Sheffield, Advanced Manufacturing Research Centre

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

Award: AUTONOMOUS METHOD FOR DETECTING CUTTING TOOL AND MACHINE TOOL ANOMALIES IN MACHINING

OpenAlex ID: W4411408559

FWCI: 0.76

Cites: 33

Cited by: 2

Related to: 10