Cost-Efficient Energy Monitoring of Manufacturing Machines Based on Nonintrusive Load Monitoring

Abstract:

In order to increase the energy efficiency of manufacturing machines, knowledge about their energy consumption is necessary, preferably on machine component level and including the temporal behavior. To gain such information, nowadays dozens of current clamps have to be installed in the machine by a professional. A more cost-efficient alternative could be the use of non-intrusive load monitoring (NILM), which is already popular in households. This paper highlights several challenges when trying to transfer NILM from households to manufacturing machines. It then focuses on a previously unresolved problem of disaggregating motors with a time varying active power demand and presents a new solution, which was successfully applied to a thermoform machine.

• Periodical: Applied Mechanics and Materials (Volume 871)
• Pages: 125-134
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.871.125
• Online since: October 2017
• Authors: Christian Gebbe*, Johannes Glasschröder, Gunther Reinhart
• Keywords: Data Mining, Energy Monitoring, NIALM, NILM, Nonintrusive Appliance Load Monitoring, Nonintrusive Load Monitoring

References

[1] J. Böhner, M. Hamacher, A. Reger, R. Steinhilper, Derivation of measures for energy efficient machine design by evaluating energy consumption data. Procedia CIRP, 15, (2014) pp.437-442.

DOI: 10.1016/j.procir.2014.06.062

[2] M. Zeifman, & K. Roth. Nonintrusive appliance load monitoring: Review and outlook. IEEE transactions on Consumer Electronics, 57(1). (2011).

DOI: 10.1109/tce.2011.5735484

[3] A. Zoha, A. Gluhak, M. A. Imran & S. Rajasegarar. Non-intrusive load monitoring approaches for disaggregated energy sensing: A survey. Sensors, 12(12), (2012) pp.16838-16866.

DOI: 10.3390/s121216838

[4] G. W. Hart. Prototype nonintrusive appliance load monitor. MIT Energy Laboratory Technical Report (1985).

[5] G.W. Hart. Nonintrusive appliance load monitoring. Proceedings of the IEEE, 80(12), (1992) pp.1870-1891.

DOI: 10.1109/5.192069

[6] S. Gupta, M. S. Reynolds & S. N. Patel. ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home. In Proceedings of the 12th ACM international conference on Ubiquitous computing (2010) pp.139-148.

DOI: 10.1145/1864349.1864375

[7] J. Z. Kolter & T. Jaakkola. Approximate inference in additive factorial hmms with application to energy disaggregation. In Artificial Intelligence and Statistics (2012) pp.1472-1482.

[8] C. Laughman, K. Lee, R. Cox, S. Shaw, S. Leeb, L. Norford & P. Armstrong. Power signature analysis. IEEE power and energy magazine, 99(2), (2003) pp.56-63.

DOI: 10.1109/mpae.2003.1192027

[9] W. Wichakool, Z. Remscrim, U. A. Orji & S. B. Leeb. Smart metering of variable power loads. IEEE Transactions on Smart Grid, 6(1), (2015) pp.189-198.

DOI: 10.1109/tsg.2014.2352648

[10] C. Gebbe, F. Göttl, J. Glasschröder, G. Reinhart. NILM disaggregation algorithm for variable speed drives. Procedia CIRP 61 (2017).

[11] C. Gebbe, J. Glasschröder and G. Reinhart. Eignung von NonIntrusive Load Monitoring für Maschinen in der Fertigungsindustrie. Zeitschrift für wirtschaftlichen Fabrikbetrieb, (2016) 9/12.

DOI: 10.3139/104.111568

[12] J. P. Zimmermann, M. Evans, J. Griggs, N. King, L. Harding, P. Roberts & C. Evans. (2012). Household electricity survey: A study of domestic electrical product usage. Intertek Testing & Certification Ltd.

[13] C. Beckel, W. Kleiminger, R. Cicchetti, T. Staake & S. Santini. (2014).

[14] F. Sultanem. (1991). Using appliance signatures for monitoring residential loads at meter panel level. IEEE Transactions on Power Delivery, 6(4), pp.1380-1385.

DOI: 10.1109/61.97667

[15] J. L. E. K. S. Lonardi & P. Patel. (2002). Finding motifs in time series. In Proc. of the 2nd Workshop on Temporal Data Mining pp.53-68.

[16] D. Luo, L. K. Norford, S. R. Shaw & S. B. Leeb. (2002). Monitoring HVAC equipment electrical loads from a centralized location-methods and field test results/Discussion. ASHRAE Transactions, 108, p.841.

[17] Y. Jin, E. Tebekaemi, M. Berges & L. Soibelman. (2011).

[18] M. Berges, E. Goldman, H. S. Matthews, L. Soibelman & K. Anderson. (2011). User-centered nonintrusive electricity load monitoring for residential buildings. Journal of computing in civil engineering, 25(6), pp.471-480.

DOI: 10.1061/(asce)cp.1943-5487.0000108