Experiences from sensor tests and evaluation of sensor performance

Bergdahl, B.-G.; Moren, María Soledad Penaranda; Oguma, Ritsuo

doi:10.1016/s0149-1970(03)00045-3

Cited by 2 publications

(1 citation statement)

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“…In the meantime, physical models such as dynamic stochastic process signal, complicated random process signal, and complicated noise come. Now existing online validation or self-test method typically focuses on following fields: the first are embedded processors and non-core components online software test SBST (software-based self test technology), using functional and structural test methods to cover with static faults, slightly dynamic faults and so on [11][12][13][14][15][16]; the second is automated sensor self-validation algorithm, using approximate reasoning techniques such as fuzzy logic to process the sensor measurement in industry harsh environment (normally slowly change signal, such as temperature) and make it have high confidence before using these test data [17][18][19]. The third is redundancy online covalidation method, which is one of the principal ways against the negative effects of random failures; however, as systems age, the likelihood of simultaneous failures of redundant safety systems becomes more compelling [20][21][22][23][24][25][26].…”

Section: The Challenge Of Online Validation Methods For Wirelessmentioning

confidence: 99%

An Online Multidomain Validation Method for Wireless Sensor Nodes

Deng

Chen

Zhang

et al. 2013

International Journal of Distributed Sensor Networks

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If wireless sensor network was deployed in electric power plants to provide equipment health data, it is essential that the data should be accurate and reliable. Nodes of wireless sensor network are different than wired test units, for they need to be distributed and have some constrains. Then online validation method is important to ensure data of networks to be reliable in important and safety related fields. It has been proved that calculation (such as FFT) can be validated by two orders functional (e.g., energy) in time and frequency domain, and with doing different number of times time-frequency signal analysis, the principle of test signal measurement validation method has been introduced. And with steady state signal, metastable signal, and the nonstationary signal the different online validation method is presented. And this method has been proved to be highly reliable and less uncertain in theory and experiment.

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Section: The Challenge Of Online Validation Methods For Wirelessmentioning

confidence: 99%

An Online Multidomain Validation Method for Wireless Sensor Nodes

Deng

Chen

Zhang

et al. 2013

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

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Vigilancia Paramétrica de la Bilinealidad de Transmisores de Presión por Análisis de Ruido

Montalvo¹,

Balbás²,

Blázquez

et al. 2010

Inf. tecnol.

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ResumenEl objetivo del presente trabajo es detectar la no linealidad asociada al comportamiento de un transmisor de presión capacitivo tipo Rosemount, cuando éste sufre pérdidas de aceite. La metodología propuesta consiste en suponer un comportamiento dinámico bilineal. Se simula la respuesta tanto del transmisor como de su línea sensora a una excitación de tipo ruido blanco y se trata la señal de medida aplicando modelos autorregresivos univariantes. Se plantea la simulación introduciendo el empleo de dos familias de coeficientes autorregresivos para reproducir la bilinealidad, no considerando la ecuación estocástica asociada a la excitación por ruido blanco. A partir de los resultados se ha definido un índice de vigilancia paramétrica para complementar la medida del tiempo de respuesta del sensor, ya que dicho tiempo no es la magnitud adecuada para detectar la bilinealidad. Palabras clave: transmisor, análisis de ruido, bilinealidad, vigilancia, ecuaciones estocásticas Parametric Surveillance of Pressure Transmitters Bilinearity through Noise Analysis AbstractThe aim of this work is detecting the non linearity associated to a Rosemount capacitive transmitter when it suffers oil loss syndrome. The proposed methodology to characterize the non-linearity consists of assuming bilinear dynamic behaviour. The transmitter and sensing line response to a driven white noise is simulated and the signal is treated applying univariant autoregressive models. As a new approach, the simulation is achieved introducing the use of two autoregressive coefficients families to reproduce the bilinearity, omitting the stochastic equation associated to the driven white noise. Base on the analysis of the results, a parametric surveillance index is defined to complement the measurement of the response time, as this time is not the appropriate quantity to detect the bilinearity.

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Experiences from sensor tests and evaluation of sensor performance

Cited by 2 publications

References 0 publications

An Online Multidomain Validation Method for Wireless Sensor Nodes

An Online Multidomain Validation Method for Wireless Sensor Nodes

Vigilancia Paramétrica de la Bilinealidad de Transmisores de Presión por Análisis de Ruido

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