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Performance enhancement and fault identification using Kalman filter in a resistive temperature sensor interface

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Abstract In recent times, smart resistive sensor interfaces are popular. A smart two-wire interface of Resistance Temperature Detector (RTD) with fault identification feature is proposed in this study. In this… Click to show full abstract

Abstract In recent times, smart resistive sensor interfaces are popular. A smart two-wire interface of Resistance Temperature Detector (RTD) with fault identification feature is proposed in this study. In this method, a constant floating current source is used along with a microcontroller and 16-bit ADC. Further, Finite Impulse Response (FIR) filter and Kalman filter were implemented to filter noise. The results obtained were encouraging. Evaluation of the proposed model was undertaken and a maximum percentage of absolute error of 0.11% was observed. Further, without any additional measurements, a model-based fault identification using Kalman filter was also proposed to locate faults in the sensor and lead-wire resistances. A deliberate sensor fault and increase in lead-wire resistances were introduced to check the performance. The proposed system works reliably and promises fault identification.

Keywords: fault identification; kalman filter; identification using; sensor; fault

Journal Title: Measurement
Year Published: 2021

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