This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dr. Ing. h.c. F. Porsche AG – Porsche Deutschland (2018) Dr. Ing. h.c. F. Porsche AG – Porsche Deutschland. Available at: http://www.porsche.de. Accessed 31 Jan 2018
Goodfellow I, Bengio Y, Courville A, Bengio Y (2016) Deep learning, vol 1. MIT Press, Cambridge
Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of Things (IoT): a vision, architectural elements and future directions. Future Gener Comput Syst 29(7):1645–1660
Hashemian HM, Bean WC (2011) State-of-the-art predictive maintenance techniques. IEEE Trans Instrum Meas 60(10):3480–3492
Keras.io (2018) Keras Documentation. Available at: https://keras.io/. Accessed 31 Jan 2018
LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436–444
Librosa.github.io (2018) LibROSA—librosa 0.5.1 documentation. Available at: http://librosa.github.io/librosa/index.html. Accessed 31 Jan 2018
Mhp.com (2018) MHP – a Porsche company. Available at: http://www.mhp.com Accessed 31 Jan 2018
Mobley RK (2002) An introduction to predictive maintenance. Butterworth-Heinemann, Amsterdam
Mqtt.org (2018) MQTT. Available at: http://mqtt.org/. Accessed 31 Jan 2018
Piczak KJ (2015) Environmental sound classification with convolutional neural networks. In: 2015 I.E. 25th international workshop on Machine learning for signal processing (MLSP), September 2015 (pp. 1–6). IEEE
Srivastava N, Hinton G, Krizhevsky A, Sutskever I, Salakhutdinov R (2014) Dropout: a simple way to prevent neural networks from overfitting. J Mach Learn Res 15(1):1929–1958
Sundermeyer M, Schlüter R, Ney H (2012) LSTM neural networks for language modeling. In: Thirteenth Annual Conference of the International Speech Communication Association
Sutskever I, Vinyals O, Le QV (2014) Sequence to sequence learning with neural networks. In: Advances in neural information processing systems, pp 3104–3112
TensorFlow (2018) TensorFlow. Available at: https://www.tensorflow.org/. Accessed 31 Jan 2018
Upton E, Halfacree G (2014) Raspberry Pi user guide. Wiley, Chichester
Wright GL, Wright MA (2015) U.S. Patent No. 8,983,677. Washington, DC: U.S. Patent and Trademark Office
Wu SJ, Gebraeel N, Lawley MA, Yih Y (2007) A neural network integrated decision support system for condition-based optimal predictive maintenance policy. IEEE Trans Syst Man Cybern Part A Syst Hum 37(2):226–236
Yang W, Tavner PJ, Crabtree CJ, Feng Y, Qiu Y (2014) Wind turbine condition monitoring: technical and commercial challenges. Wind Energy 17(5):673–693
Acknowledgements
The presented work was, in parts, funded by MHP Management—und IT—Beratung GmbH and Dr. Ing. h.c. F. Porsche AG. In no particular order, the authors thank Alice Chan, Judith Gabbert, Belal Chaudhary, Claudio Weck and Roman Siejek for their valuable input.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
der Mauer, M.A., Behrens, T., Derakhshanmanesh, M., Hansen, C., Muderack, S. (2019). Applying Sound-Based Analysis at Porsche Production: Towards Predictive Maintenance of Production Machines Using Deep Learning and Internet-of-Things Technology. In: Urbach, N., Röglinger, M. (eds) Digitalization Cases. Management for Professionals. Springer, Cham. https://doi.org/10.1007/978-3-319-95273-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-95273-4_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-95272-7
Online ISBN: 978-3-319-95273-4
eBook Packages: Business and ManagementBusiness and Management (R0)