Sensor Array Fault Detection Technique using Kalman Filter

Sensor readings in instrumentation are essential because they relate to the accuracy of the input for further processing. The incorrect sensor reading will result in subsequent inaccurate processes so that the resulting output value is invalid. Sometimes calibration is carried out to get an approach of the process of capturing data through input, and the results are released as the output. This paper discusses the use of sensor arrays, where sensors having the same characteristics are used to read a particular object. The problem is the inaccurate reading of each sensor, which is sometimes not the same, so this needs special handling so that the output generated from these sensors can be received as the input to the next process stage. The method proposed in this paper is the implementation of the Kalman filter. The technique used in testing is to give a disturbance to the array of sensors so that it can be seen as the consistency of the sensor readings. The results obtained in this implementation, the Kalman filter is able to reduce the impact of misinformation on sensor array readings.