Abstract
AbstractFailures of machine elements can cause critical machine breakdowns, e.g. bearing damage accounts for almost 20% of all machine failures. Hence, monitoring machine elements is of particular importance for condition monitoring of gearboxes. Therefore, new approaches based on electrical impedance analysis are proposed in literature, e.g. for the measurement of rolling bearing load or damage condition with so-called sensory utilizable machine elements (SuME). For this approach, an electrical signal is transmitted through the structure to be observed and the resulting impedance is measured. With this technique it is possible to detect loads and damages not only for bearings, but also for the entire gearbox. Another application of this method can be the transmission of electrical signals through machine elements and the gearbox themselves. However, uncertainty arises with regard to the distinct signal transmission in these processes, mainly due to parasitic capacitances. In this contribution, the disturbing factors on the measured impedance of a gearbox at different working points are investigated. For this purpose, disturbance factors are systematically identified and used as basis for a full factorial experimental design for screening the operational characteristics of a gearbox. The data obtained from the tests is analyzed to identify correlations between the disturbance factors and parasitic capacitances. The experiments show a speed- and torque-dependent behavior of the parasitic capacitances in a gearbox. These results can be used for further research of SuME and structure-integrated energy supply and signal paths as well as the evaluation of related measurement data by reducing the associated uncertainty.
Funder
Deutsche Forschungsgemeinschaft
Technische Universität Darmstadt
Publisher
Springer Science and Business Media LLC
Reference34 articles.
1. Hirsch-Kreinsen H, Kubach U, Stark R, von Wichert G, Hornung S, Hubrecht L, Sedlmeir J, Steglich S (2019) Key themes of industry 4.0. Research and development needs for successfull implementation of industry 4.0
2. Anderl R, Picard A, Wang Y, Fleischer J, Dosch S, Klee B, Bauer J (2016) Guideline Industrie 4.0. Guiding principles for the implementation of Industrie 4.0 in small and medium sized businesses
3. Vorwerk-Handing G, Gwosch T, Schork S, Kirchner E, Matthiesen S (2020) Classification and examples of next generation machine elements. Forsch Ingenieurwes 84:21–32
4. Schirra T, Martin G, Vogel S, Kirchner E (2018) Ball bearings as sensors for systematical combination of load and failure monitoring. In: Marjanović D, Štorga M, Škec S, Bojčetić N, Pavković N (eds) Proceedings of the DESIGN 2018 15th International Design Conference. Design Conference Proceedings. Design Society, Glasgow, pp 3011–3022 https://doi.org/10.21278/idc.2018.0306
5. Martin G, Becker FM, Kirchner E (2022) A novel method for diagnosing rolling bearing surface damage by electric impedance analysis. Tribol Int 170:107503. https://doi.org/10.1016/j.triboint.2022.107503
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