Abstract
In this work, finding the optimal parameters for multi-pump control system of water supply is regarded as a difficult problem in blind source separation (BSS). A motor acceleration or deceleration curve of water supply can be assumed a weighted sum by feature control parameters, such as pipe line pressure, water flux,and sleeping interval, etc. . With the help of restruction of separation model, a group of optimal parameters are found and the solution to to the optimal control parameters for multi-pump control system of water supply. The test results showed that maximal error(or separating precision) is 0.86% for two mainly feature parameters under a SNR of 9/231 and an excellent agreement between the numerical simulation and the actual test parameters is found.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Amari, S., Cichocki, A., Yang, H.H.: A new learning algorithm for blind source separation. In: Advances in Neural Information Processing 8, pp. 757–763. MIT Press, Cambridge (1996)
Comon, P.: Independent component analysis: A new concept? Signal Processing 36, 287–314 (1994)
Amari, S.-I., Cichocki, A., Yang, H.H.: A new learning algorithm for blind source separation. In: Advances in Neural Information Processing Systems 8, pp. 757–763. MIT Press (1996)
Bell, A.J., Sejnowski, T.J.: An information-maximization approach to blind separation and blind deconvolution. Neural Computation 7, 1129–1159 (1995)
Bell, A.J., Sejnowski, T.J.: The ‘independent components’ of natural scenes are edge filters. Vision Research 37, 3327–3338 (1997)
Cardoso, J.-F., Hvam Laheld, B.: Equivariant adaptive source separation. IEEE Trans. on Signal Processing 4(12), 3017–3030 (1996)
Delfosse, N., Loubaton, P.: Adaptive blind separation of independent sources: A deflation approach. Signal Processing 45, 59–83 (1995)
Mussardo, G.: Statistical Field Theory. In: An Introduction to Exactly Solved Models of Statistical Physics. Oxford University Press (2010)
Baumberg, A.: Reliable feature matching across widely separated views. In: Conference on Computer Vision and Pattern Recognition, Hilton Head, South Carolina, pp. 774–781 (2000)
Brown, M., Lowe, D.G.: Invariant features from interest point groups. In: British Machine. Vision Conference, Cardiff, Wales, pp. 656–665 (2002)
Hyvärinen, A., Oja, E.: Independent component analysis: Algorithms and applications. Neural Networks 13(45), 411–430 (2000)
Ristaniemi, T., Joutsensalo, J.: On the performance of blind source separation in CDMA downlink. In: Proc. Int. Workshop on Independent Component Analysis and Signal Separation (ICA 1999), Aussois, France, pp. 437–441 (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wu, Z. et al. (2012). Optimal Parameters for Multi-pump Control System of Water Supply Based on Blind Source Separation. In: Zeng, D. (eds) Advances in Information Technology and Industry Applications. Lecture Notes in Electrical Engineering, vol 136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26001-8_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-26001-8_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-26000-1
Online ISBN: 978-3-642-26001-8
eBook Packages: EngineeringEngineering (R0)