Managing streamed sensor data for mobile equipment prognostics
The ability to wirelessly stream data from sensors on heavy mobile equipment provides opportunities to proactively assess asset condition. However, data analysis methods are challenging to apply due to the size and structure of the data, which contain inconsistent and asynchronous entries, and large...
Main Authors: | Corrêa, D. (Author), Griffiths, T. (Author), Hodkiewicz, M. (Author), Polpo, A. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Cambridge University Press
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
Potential of Using Medium Electric Vehicle Fleet in a Commercial Enterprise Transport in Germany on the Basis of Real-World GPS Data
by: Robert Pietracho, et al.
Published: (2021-08-01) -
Bus Fleet Management – A Systematic Literature Review
by: Marko Orošnjak, et al.
Published: (2020-11-01) -
A FRAMEWORK FOR CREATING VALUE FROM FLEET DATA AT ECOSYSTEM LEVEL
by: Sini-Kaisu KINNUNEN, et al.
Published: (2017-07-01) -
An All-Electric Alpine Crossing: Time-Optimal Strategy Calculation via Fleet-Based Vehicle Data
by: Maximilian Cussigh, et al.
Published: (2020-01-01) -
Predictive Data Mining Techniques for Fault Diagnosis of Electric Equipment: A Review
by: Arantxa Contreras-Valdes, et al.
Published: (2020-02-01)