A Fault Detection Method of ARMA Based Pressure Sensor
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Abstract:
The AWS equipment in China is running daily, lacking of information reflecting its running status. In order to test the running status of the pressure sensor, a pressure forecasting model based on the time series analysis is proposed. Through this model, the next value can be estimated reasonably by using the latest values together with a confidence interval, and then compared with the actual data. If the actual data deviate from the confidence interval, then the pressure sensor is considered failed. The validity of the model 〖JP2〗ARMA is verified by the results of one forecasting example, and the best model is ARMA (2, 1) 〖JP〗with the forecast error being 0.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.