Development of a Distributed Wireless Vibration Measurement and Monitoring System

Abstract

This paper deals with vibrations which occur during the operation of various rotating machines. When monitoring the condition of such machines, it is necessary to obtain data on the vibrations of various parts, which requires the installation of sensors directly near these parts of the machine in such a way as not to interfere with its functioning. But, wire connections for transmitting signals are usually long, heavy, and prone to various damages and interferences during the operation of the machine. The purpose of the article is to develop a vibration monitoring system and algorithms for its operation, which is based on wireless vibration measurement modules that do not have problems with the presence of wired connections and are freely scalable to a different number of modules. The monitoring system should consist of interchangeable modules that have small dimensions and consist of a minimum number of components. As a result, the cost and power consumption of such a module is also insignificant. The data coming from each module must be stored in the database for further processing that will show the state of the object. A system and a wireless module have been developed that can be used to monitor the vibrations of rotating parts of electric machines. The system is easily scalable, the received data after processing allows determining the condition and malfunctions of the rotating parts of the electric machine. The use of wireless transmission channels, in turn, allows you to reduce the dimensions of the modules and simplify the process of their installation on the machine, as well as simplify the condition monitoring system as a whole. The wireless module and the monitoring system based on it can be used to determine the state of parts of electric machines rotating at frequencies up to 500Hz. The conducted tests showed that the developed system allows determining malfunctions of parts of the electric machine, has low complexity and can be easily scaled.