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It is argued that realizing the full potential of AI in instrumentation requires a balanced approach that combines technological innovation with robust governance frameworks, human oversight, and rigorous uncertainty quantification.
This article provides a comprehensive overview of AI-empowered intelligent instrumentation, with a focus on three representative application paradigms: automatic meter reading, fault diagnosis for predictive maintenance, and sensor calibration with drift compensation.
The integration of artificial intelligence into instrumentation and measurement systems has emerged as a transformative force across industrial, environmental, and scientific domains. This article provides a systematic overview of AI applications in instrumentation, encompassing intelligent sensor data processing, pred...
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