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- W2993693780 abstract "Automated calibration of temperature measurement technique is proposed in this work. The objective of the work is to design a technique which will be able to automatically calibrate the temperature sensor (thermocouple) output to obtain higher sensitivity and can also detect fault in sensor if any. The signal from the thermocouple is amplified using an instrumentation amplifier. The output of instrumentation amplifier is acquired on to the system using a general-purpose voltage data acquisition card (USB 6008). Based on user-defined range, the sensor output is calibrated to produce an output which has the highest sensitivity using neural network algorithms. Designed support vector algorithm is also trained to identify fault in sensor. The trained system is tested for evaluating its performance with both simulated and practical data. Results produced show successful achievement of set objective." @default.
- W2993693780 created "2019-12-13" @default.
- W2993693780 creator A5068063258 @default.
- W2993693780 date "2019-12-01" @default.
- W2993693780 modified "2023-09-27" @default.
- W2993693780 title "Self-calibrating Thermocouple Using Neural Network Algorithm for Improved Sensitivity and Fault Identification" @default.
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- W2993693780 doi "https://doi.org/10.1007/978-981-13-9680-9_11" @default.
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