AN INTELLIGENT MULTI-SENSOR SYSTEM FOR IDENTIFICATION AND ASSESSMENT OF THE TECHNICAL CONDITION OF ELECTRICAL EQUIPMENT USING WI-FI

Abstract

The modern stage of industrial development is characterized by an increasing need for systems to monitor the condition and efficient functioning of electrical equipment. Breakdown or unplanned stoppage of an electromechanical system engine is accompanied by significant economic losses for enterprises. Therefore, the current stage of industrial development is characterized by an increasing need for systems for monitoring the condition and efficient functioning of electrical equipment.
 As a result, due to the rapid development of precision manufacturing technologies, many studies have been conducted in the field of multi-sensor measurement and data fusion technologies to improve monitoring capabilities in terms of measurement accuracy and information richness, thereby increasing production efficiency and accuracy. In a multi-sensor system, each sensor independently measures certain parameters. The system then uses an appropriate signal processing algorithm to combine all the independent measurements into a complete set of measurement results.
 An accurate assessment of the technical condition makes it possible to predict the term of the next repair of the equipment, increases the reliability and efficiency of its operation, reduces the damage from downtime of the equipment due to accidents, the costs of repair and restoration of operability, reduces the costs of maintenance and operation of the equipment.
 This article presents an overview of an intelligent multi-sensor system for monitoring the process and technological state of electrical equipment. Which in real time with the help of sensors makes it possible to obtain information from the environment and draw conclusions about the condition of the diagnosed equipment. The technology of an intelligent multi-sensor system for identification and assessment of the technical condition of electrical equipment has prospects for wide application in industries. Thanks to the most compact dimensions of the installation, we have the opportunity to take measurements in hard-to-reach places, without removing the equipment from work, which minimizes losses from downtime. Also, the use of this system allows detecting the development of a defect in the early stages of development, which prevents and significantly reduces the cost of repairing power equipment when it is out of service.