Abstract
The continuous monitoring and documentation of the condition of wear-susceptible components is the prerequisite for condition-based maintenance in availability-oriented IPS² business models. This article illustrates the concept of intelligent condition monitoring for mechatronic components. To ensure a real time and precise detection of condition deterioration a toolbox was developed and implemented in MATLAB that combines methods for signal processing, feature extraction and classification. A test rig is introduced that was designed and built for the purpose of roller bearing monitoring. Since roller bearings are the most critical components of a micro milling spindle, they are responsible for a multiplicity of machine tool breakdowns. The toolbox was evaluated in experiments with the roller bearing test rig.
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Uhlmann, E., Laghmouchi, A., Raue, N. (2013). Configurable Condition Monitoring Methods for Industrial Product Service Systems. In: Meier, H. (eds) Product-Service Integration for Sustainable Solutions. Lecture Notes in Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30820-8_30
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DOI: https://doi.org/10.1007/978-3-642-30820-8_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30819-2
Online ISBN: 978-3-642-30820-8
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