Meissner, Robert and Meyer, Hendrik and Raddatz, Florian (2019) A Measurement Frequency Estimation Method for Failure Prognosis of an Automated Tire Condition Monitoring System. 2019 IEEE International Conference on Prognostics and Health Management, 17.-19. Juni 2019, San Francisco, USA. doi: 10.1109/ICPHM.2019.8819422. ISBN 978-1-5386-8357-6.
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Official URL: https://ieeexplore.ieee.org/document/8819422
Abstract
The ongoing digitalization allows operators and manufacturers to constantly gain new insights about their asset’s performance and degradation status. This information could potentially help to reduce operating and maintenance costs. Although significant amount of research has been spent in determining Remaining Useful Lifetimes (RUL) of various systems, these efforts often implicitly assume an unrestricted availability of measurement data. However, the amount of acquired data significantly drives the necessary investment cost or is sometimes even impossible to obtain in required requencies in reality. In this paper, we will investigate the changes of the precision for the RUL prognosis on the example of a Tire Pressure Indication System (TPIS). After a possible layout with sensor requirements for a fully automated condition monitoring system has been developed in theory, we describe necessary data cleansing steps to account for environmental impacts on the system’s performance and to derive the system’s health status. With the help of a Monte Carlo (MC) simulation, we evaluate the system’s sensitivity towards changes in precision of the RUL for different measurement frequencies, prognostic models, and parameter settings. The results allow an estimation of the minimum pressure measurement frequency for a fully automated TPIS in order to obtain the required prognostic performance and to maximize cost efficiency.
Item URL in elib: | https://elib.dlr.de/128171/ | ||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
Title: | A Measurement Frequency Estimation Method for Failure Prognosis of an Automated Tire Condition Monitoring System | ||||||||||||
Authors: |
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Date: | 17 June 2019 | ||||||||||||
Refereed publication: | Yes | ||||||||||||
Open Access: | No | ||||||||||||
Gold Open Access: | No | ||||||||||||
In SCOPUS: | No | ||||||||||||
In ISI Web of Science: | No | ||||||||||||
DOI : | 10.1109/ICPHM.2019.8819422 | ||||||||||||
ISBN: | 978-1-5386-8357-6 | ||||||||||||
Status: | Published | ||||||||||||
Keywords: | TPIS; prognosis; remaining useful life; condition based maintenance; prognostic accuracy; measurement frequency | ||||||||||||
Event Title: | 2019 IEEE International Conference on Prognostics and Health Management | ||||||||||||
Event Location: | San Francisco, USA | ||||||||||||
Event Type: | international Conference | ||||||||||||
Event Dates: | 17.-19. Juni 2019 | ||||||||||||
Organizer: | IEEE Reliability Society | ||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
HGF - Program: | Aeronautics | ||||||||||||
HGF - Program Themes: | air traffic management and operations | ||||||||||||
DLR - Research area: | Aeronautics | ||||||||||||
DLR - Program: | L AO - Air Traffic Management and Operation | ||||||||||||
DLR - Research theme (Project): | L - Air Traffic Concepts and Operation (old) | ||||||||||||
Location: | Hamburg | ||||||||||||
Institutes and Institutions: | Institute of Maintenance, Repair and Overhaul > Product Life Cycle Management | ||||||||||||
Deposited By: | Meissner, Robert | ||||||||||||
Deposited On: | 09 Sep 2019 08:53 | ||||||||||||
Last Modified: | 09 Sep 2019 08:53 |
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