Feasibility of Low-cost Vibration Monitoring for Ground Vehicles
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Abstract
This paper reports empirical investigation for the feasibility of MEMS accelerometers for PHM application in monitoring of ground vehicles on the use case of diesel engine monitoring. The failure mode was injector leakage with four seeded levels of damage. MEMS and piezoelectric accelerometers were mounted in close proximity, following the usual good practices of sensor placement to enable fair comparisons. The process of computing both engineered and data-driven condition indicators was repeated for the data captured by the type of sensors. In addition to the empirical study, the article includes elementary economic analysis to compare the cost of the MEMS-based solution to that of the traditional vibration data acquisition channel. The results suggest that data-driven models seem to be agnostic to the sensor source, but feature engineering may require additional tuning
How to Cite
##plugins.themes.bootstrap3.article.details##
Accelerometer, MEMS, Piezo, HUMS, Vibration, Prognostics, Condition Indicators, Autoencoders, Seeded Faults, Engine
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.