The Impact of Load on Global Parameters of Electrical Machines in Case of Healthy and Broken Rotor Bars

Nowadays, electrical machines and drive systems are used in numerous domestic and industrial applications. Due to this fact, unexpected failures can lead to fatal consequences and are to be prevented. As the world is moving towards Industry 4.0 standards, sophisticated technologies and timely fault detection are becoming more popular. Using cloud computation, a massive amount of data about machines' working conditions can be stored remotely. These datasets are used for training those algorithms to predict potential failures. At the same time, the same parameters can differ under changing environments and working conditions in the sense of harmonic spectra. This phenomenon can lead to unprecise predictions. This paper discusses the impact of motor load on the global parameters of rotating machines.

I. Introduction

During the last years, condition monitoring of electrical machines and timely fault detection has gained reasonable importance due to their wide usage in different industrial branches. However, modern energy systems are also prone to damage. Unexpected failures can lead to economic losses and inefficient resource usage in production. At the same time, energy systems represent a complicated mechanism, many parameters must be monitored to provide reliable operation and prevent unexpected faults.