Bearing faults are one of the most common causes of induction motor failure. Often, motor vibration information is used to detect this type of damage. However, obtaining this type of information requires special equipment (external sensors) and there are difficulties in using this approach in mechanisms, the operation of which is accompanied by an increased level of technological vibrations. Fault detection methods based on stator current analysis avoid these drawbacks. Currently, there are many approaches to solving diagnostic problems using fairly complex methods. At the same time, it is also of interest to use relatively simple methods suitable for online use. The paper analyzes the possibility of using the simplest threshold approach for detecting motor bearing faults, based on the use of information about the stator current with wavelet analysis for primary signal processing. The possibility of motor bearing fault detection based on the analysis of changes in the standard deviation of the stator current signal in the case of a bearing fault is shown. The features of the choice of the standard deviation threshold value are considered.