Self-Validating Sensors, Systems, and Advanced Instrumentation International Laboratory

Address:
South Ural State University
Main University Building
76, Prospect Lenina
Tel.: + 7 351 263 58 82; +7 351 267 99 70
E-mail: a.l.shestakov[at]susu[dot]ru

	Head of the Laboratory Manus P. Henry D.Sc. University of Oxford (Great Britain)
	Deputy Head of the Laboratory Alexander Shestakov D.Sc., Professor South Ural State University

About

Modern business is about economic efficiency and profitability as well as environmental safety. To meet such demands, companies invest heavily in intelligent systems. An intelligent sensor is a device that can perform tasks such as self-testing, self-validation, and self-adaption, which can be done by developing algorithms responsible for the self-check and self-validation of smart sensors. Some devices cannot be tested without disassembling. By developing intelligent sensors, researchers hope to transform simple signal generators into those able to estimate their own performance, self-diagnose, and self-recover.

Scientists from South Ural State University significantly contribute to the development of smart instrumentation in collaboration with the world’s leading researchers and industrial partners.  The development of smart sensors at the Self-Validating Sensors, Systems, and Advanced Instrumentation Laboratory enables the university researchers to contribute significantly to the global implementation of the digital enterprise in the era of the Internet of Things and intelligent systems.

The researchers are presently engaged in the following projects:

• Development of multiphase flow meters for several flows and compressed natural gas;
• Development of self-validating thermal converters;
• Research and development of self-validating pressure transducers;
• Development of vibration control methods for mechanical systems.

The laboratory is equipped with first-class facilities to conduct research on pressure and temperature conversion, and actuators automation.

Achievements

• an algorithm for two-phase flow measurement suggested based on the parametric methods of signal processing, with the 3% measurement error and 10% gas fraction;
• a method of thermocouple self-validation on the basis of controlled exposure described;
• an experimentally proved model of self-validating pressure transducer developed based on the method of excited state control. The conducted research and its results have shown the validity of using the excited state control method for self-validation of the strain gauge. The model has successfully been patented;
• a model of wireless acceleration sensor of moving elements for condition monitoring of mechanisms developed. The design enables to perform an effective motor system testing;
• over 32 research papers published (16 of them in Scopus-indexed journals) for the 3 years of working. 

Partners