Modification and enhanced testing of data mining-based algorithm to detect subtle errors in temperature sensors in a gold-stripping circuit

Society for Mining, Metallurgy & Exploration
MELO EDUARDO PIMENTA DE Rajive Ganguli Rambabu Pothina
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Society for Mining, Metallurgy & Exploration
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 The mining industry is home to a mass of sensor-generated data that are critical to real-time and long-term optimization. This heavy reliance on sensor data has resulted in an undesirable development. The industry is reluctant to verify the accuracy of sensors as it would mean shutting down important processes. Sensors are typically calibrated once a year, if at all. Errors in sensors go undetected until the next calibration or until errors are so gross as to be obvious
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APA: MELO EDUARDO PIMENTA DE Rajive Ganguli Rambabu Pothina  Modification and enhanced testing of data mining-based algorithm to detect subtle errors in temperature sensors in a gold-stripping circuit

MLA: MELO EDUARDO PIMENTA DE Rajive Ganguli Rambabu Pothina Modification and enhanced testing of data mining-based algorithm to detect subtle errors in temperature sensors in a gold-stripping circuit. Society for Mining, Metallurgy & Exploration,

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