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- W2071336202 abstract "The paper describes a method of sensor condition testing based on processing of data measured by the sensor using a Gaussian mixture model with dynamic weights. The procedure is composed of two steps, off-line and on-line. In off-line stage, fault-free learning data are processed and described by a probabilistic mixture of regressive models (mixture components) including a transition table between active components. It is assumed that each component characterises one property of data dynamics and just one component is active in each time instant. In on-line stage, tested data are used for transition table estimation compared with the fault-free transition table. The crossing of given level of difference announces a possible fault." @default.
- W2071336202 created "2016-06-24" @default.
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- W2071336202 date "2014-01-01" @default.
- W2071336202 modified "2023-09-27" @default.
- W2071336202 title "Testing of Sensor Condition Using Gaussian Mixture Model" @default.
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- W2071336202 doi "https://doi.org/10.5220/0005063605500558" @default.
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