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doi:10.22028/D291-37191
Title: | Data and computation efficient model-based fault detection for rolling element bearings using numerical differentiation |
Author(s): | Othmane, Amine Rudolph, Joachim |
Language: | English |
Title: | 5th Conference on Control and Fault Tolerant Systems : September 29th-October 1st, 2021, Congress Center, St-Raphaël, France |
Startpage: | 163 |
Endpage: | 168 |
Publisher/Platform: | IEEE |
Year of Publication: | 2021 |
Place of publication: | Piscataway |
Place of the conference: | Saint-Raphael, France |
Free key words: | Vibrations Fault diagnosis Fault tolerance Computational modeling Fault detection Fault tolerant systems Force |
DDC notations: | 600 Technology |
Publikation type: | Conference Paper |
Abstract: | A novel model-based approach for online condition monitoring of rolling element bearings based on efficient and robust numerical differentiation is proposed. The physical parameters may be identified using fault-free data. The main idea for fault detection is the design of signals, called residuals, sensitive only to faults using a simplified model of the bearing vibrations. These residuals are proportional to the force stemming from the faults and are easy to compute and implement. An approach for the design of a failure detection threshold is provided. This threshold can be designed to meet a desired probability of false alarms. The method is validated using four experimental data sets stemming from different research centers. |
DOI of the first publication: | 10.1109/SysTol52990.2021.9595974 |
URL of the first publication: | https://ieeexplore.ieee.org/document/9595974 |
Link to this record: | urn:nbn:de:bsz:291--ds-371914 hdl:20.500.11880/33735 http://dx.doi.org/10.22028/D291-37191 |
ISBN: | 978-1-6654-3159-0 |
Date of registration: | 13-Sep-2022 |
Faculty: | NT - Naturwissenschaftlich- Technische Fakultät |
Department: | NT - Systems Engineering |
Professorship: | NT - Prof. Dr. Joachim Rudolph |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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