{'fraction_non_alphanumeric': 0.013432835820895522, 'fraction_numerical': 0.01791044776119403, 'mean_word_length': 5.390476190476191, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Novel Approach of Non-linearity Analyses of Resistive Temperature Sensors

Received: 11 January 2019 Accepted: 26 March 2019 The non-linearity analysis is one of the most important issue when defining the static characteristics of temperature sensors, namely thermoresistive sensors. The purpose of this work is to propose a simple approach based on measuring the signal conditioning parameters to define the model of measured temperature. The developed approach is utilized to obtain a relationship between the bridge parameters and the final measured value of temperature. The data acquisition and signal processing are carried out by Arduino Uno and LabVIEW software.