Data set for "Data-based Detection and Diagnosis of Faults in Linear Actuators"
Loading...
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
This data set presents the raw original data used in "Data-based detection & diagnosis of faults in Linear actuators".The data was acquired from a linear actuator rig operated using different loading conditions and motion profiles. In addition, three different faults (lack of lubrication, spalling and backlash) were gradually seeded to the system in order to study fault detection and diagnosis capabilities of different algorithms. The data set includes actuator position and motor current measurements for the different conditions mentioned. In addition to the data, the file "Data description.pdf" contains all the details about the test rig set up, cases studied and data structure.
Description
Keywords
'fault detection', 'diagnosis', 'linear actuator', 'EMA', 'feature extraction', 'multivariate analysis', 'Automation and Control Engineering', 'Dynamics, Vibration and Vibration Control', 'Manufacturing Processes and Technologies (excl. Textiles)', 'Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics)', 'Mechanical Engineering', 'Signal Processing'
Citation
Ruiz Carcel, Cristobal; Starr, Andrew (2018). Data set for "Data-based Detection and Diagnosis of Faults in Linear Actuators". Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.5097649
Collections
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwise noted, this item's license is described as CC BY 4.0