Wavelet functions for rejecting spurious values

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The article presented some promising patents and other correlated literature on wavelet functions for rejecting spurious values (gross errors) in a continuous digital sequence of measured values. Moreover, the paper concentrates its attention on an innovative invention which addresses Gross Error Detection using uni-variate signal-based approaches. The developed algorithm is totally general and it is present in some industrial software platforms to detect sensor outliers. Furthermore, it is currently integrated in the inferential modelling platform of the unit responsible for Advanced Control and Simulation Solutions within ABB's (Asea Brown Boveri) industry division. Experimental results using sensor measurements of temperature, pressure and Enthalpy in a Distillation Column are presented in the paper. One of the goals of this paper is to show the possibility to include the wavelet algorithms also for data reconciliations and authentications in modern communication systems such as wireless communication ones. Wavelet packets seem particularly suitable in such kind of applications because they could also be utilized in the compression data system. Therefore, using wavelet packets a more compact and integrated structure of the whole data transmission and data reconciliation system seems to be possible.

Original languageEnglish
JournalRecent Patents on Electrical and Electronic Engineering
Volume3
Issue number2
Pages (from-to)100-113
Number of pages14
ISSN1874-4761
DOIs
Publication statusPublished - 2010
Externally publishedYes

    Research areas

  • Data protection, Data reconciliation, Gross error detection, Intrusion detection, Outliers, Parameter estimation, Security in sensor measures, Wavelets, Advanced control, Compression data, Data transmission, Digital sequence, Gross errors, Industrial software, Integrated structure, Sensor measurements, Wavelet algorithms, Wavelet function, Wavelet Packet, Wireless communications, Communication systems, Data compression, Distillation, Distillation columns, Patents and inventions, Sensors, Wavelet transforms, Wireless telecommunication systems, Error detection
  • Engineering

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  1. Marcus Erben

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