MODERN INTELLIGENT AND DIGITAL APPROACHES TO VISCOSITY MEASUREMENT
Keywords:
Viscosity measurement, density measurement, intelligent sensors, self-monitoring, fault tolerance, flow transducers, measurement reliability, artificial intelligence, Industry 4.0, digital signal processing, self-diagnostics, sensor networks.Abstract
This article explores modern intelligent and digital approaches to measuring viscosity and density of liquid media, along with methods for self-monitoring and fault tolerance in flow measurement transducers. It highlights the transition from traditional laboratory-based techniques to integrated cyber-physical systems that enable continuous monitoring and control of industrial processes. Special attention is given to the application of artificial intelligence, machine learning, and digital signal processing for improving measurement accuracy and predictive capabilities. The study examines various density measurement methods, including static, hydrostatic, vibrational, acoustic, radiation, and digital techniques, outlining their advantages and limitations. It also discusses the role of Industry 4.0 technologies, sensor networks, and digital twins in enhancing measurement performance.
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