Software Framework for Tribotronic Systems

TL;DR

This paper introduces a flexible software framework designed to enhance the development and deployment of tribotronic systems, demonstrated through vibration analysis of bearings, improving their performance and reliability.

Contribution

The paper presents a novel plug-in based software framework that simplifies the development, testing, and deployment of tribotronic system functionalities.

Findings

Framework improves system performance and reliability.

Easy to update and deploy plug-ins, even at run-time.

Effective in fault detection and remaining useful life estimation.

Abstract

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.