@masterthesis{Dascaliuc, type = {Bachelor Thesis}, author = {Dascaliuc, Catalin}, title = {A comprehensive study on the gearbox fault diagnosis based on vibration analysis: development of a condition monitoring system}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-4131}, school = {Hochschule Rhein-Waal}, pages = {80}, abstract = {Modern industrial processes run in a continuous fashion, and unexpected shutdowns may lead to significant economic losses. Hence, sustainable maintenance practices are employed in most state-of-the-art sites. Predictive maintenance offers the possibility of mitigating breakdowns and ensures optimum usage of machines. Therefore, the development of reliable condition monitoring systems is crucial in guaranteeing reliable forecasting of machine failures and scheduling of maintenance works. However, since there is active ongoing research in the field of vibration-based condition monitoring, there is an urge to review the latest advances on this topic. Additionally, since condition monitoring is a relatively new branch of engineering, few standards and baselines exist for setting up condition monitoring systems. The current thesis aims to provide a comprehensive framework for gearbox condition monitoring. The aim is to be achieved in the form of developing a baseline GUI for bearing and gear fault analysis. A literature review is conducted to conceptualize gearbox vibration-based fault diagnosis strategies and identify the required signal processing algorithms for fault detection and diagnosis. The software development process is presented alongside the developed MATLAB-based GUI, which is deployed as a standalone application. An assessment of the implemented processing algorithms is done with various numerically generated gearbox signal models. Furthermore, the developed software is used to perform fault diagnosis on experimental data.}, language = {en} }