6533b7d6fe1ef96bd126724a

RESEARCH PRODUCT

Software Framework for Tribotronic Systems

Jarno KansanahoTommi K��rkk��inen

subject

Software Engineering (cs.SE)Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Software EngineeringFOS: Electrical engineering electronic engineering information engineeringSystems and Control (eess.SY)Electrical Engineering and Systems Science - Signal ProcessingElectrical Engineering and Systems Science - Systems and Control

description

Increasing the capabilities of sensors and computer algorithms produces a need for structural support that would solve recurring problems. Autonomous tribotronic systems self-regulate based on feedback acquired from interacting surfaces in relative motion. This paper describes a software framework for tribotronic systems. An example of such an application is a rolling element bearing (REB) installation with a vibration sensor. The presented plug-in framework offers functionalities for vibration data management, feature extraction, fault detection, and remaining useful life (RUL) estimation. The framework was tested using bearing vibration data acquired from NASA's prognostics data repository, and the evaluation included a run-through from feature extraction to fault detection to remaining useful life estimation. The plug-in implementations are easy to update and new implementations are easily deployable, even in run-time. The proposed software framework improves the performance, efficiency, and reliability of a tribotronic system. In addition, the framework facilitates the evaluation of the configuration complexity of the plug-in implementation.

yearjournalcountryeditionlanguage
2019-10-30
http://arxiv.org/abs/1910.13764