Wavelet functions for rejecting spurious values
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In: Recent Patents on Electrical and Electronic Engineering, Vol. 3, No. 2, 2010, p. 100-113.
Research output: Journal contributions › Journal articles › Research
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TY - JOUR
T1 - Wavelet functions for rejecting spurious values
AU - Mercorelli, P.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Data protection
KW - Data reconciliation
KW - Gross error detection
KW - Intrusion detection
KW - Outliers
KW - Parameter estimation
KW - Security in sensor measures
KW - Wavelets
KW - Advanced control
KW - Compression data
KW - Data transmission
KW - Digital sequence
KW - Gross errors
KW - Industrial software
KW - Integrated structure
KW - Sensor measurements
KW - Wavelet algorithms
KW - Wavelet function
KW - Wavelet Packet
KW - Wireless communications
KW - Communication systems
KW - Data compression
KW - Distillation
KW - Distillation columns
KW - Patents and inventions
KW - Sensors
KW - Wavelet transforms
KW - Wireless telecommunication systems
KW - Error detection
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=77953801694&partnerID=8YFLogxK
U2 - 10.2174/1874476111003020100
DO - 10.2174/1874476111003020100
M3 - Journal articles
VL - 3
SP - 100
EP - 113
JO - Recent Patents on Electrical and Electronic Engineering
JF - Recent Patents on Electrical and Electronic Engineering
SN - 1874-4761
IS - 2
ER -