Electric Motor Machine Learning

This dataset is free to use for your own analytics and sort of a playground to try out different machine learning methods.

Electric motor machine learning. Electric motor temperature 140 hrs recordings from a permanent magnet synchronous motor pmsm kirgsn. Index terms bearing fault deep learning diagnostics feature extraction machine learning. As electric motors become more ubiquitous in our everyday lives found in just about everything we use from automobiles to kitchen appliances to iot connected and smart devices it s more important than ever to understand the machine characteristics modern control techniques and associated interactions with electronic drives that power. In this paper the fault degree and health degree of the system are put forward based on the analysis of electric motor drive system s control principle.

From the outside you can see the steel can that forms the body of the motor an axle a nylon end cap and two battery leads. Deep learning for permanent magnet synchronous motor temperatures. You can see that this is a small motor about as big around as a dime. All sensor data is recorded on a testbench.

As faults in motor drives can cause safety hazards in applications such as electric traction propulsion. The integration of machine learning for the predictive analysis of health in induction motors is proposed so that the overall effectiveness of the system can be escalated. Amatrol s electric motor control learning system 85 mt5 covers electric relay control of ac electric motors found in industrial commercial and residential applications. For certain applications these machines may operate under unfavorable conditions such as high ambient temperature.

With the self organizing neural network s advantage of competitive learning and unsupervised clustering the system x2019 s health. Since this is no competition dataset of any sort there is no designated target feature or even cost function to. This paper applies machine learning techniques to fault diagnosis in electric motor drives. Introduction electric machines are widely employed in a variety of industry applications and electrified transportation systems.

Ford motor company ones of america s oldest companies uses artificial intelligence and machine learning in many ways from the supply chain to production to used car sales to self driving vehicles. The motor being dissected here is a simple electric motor that you would typically find in a toy. This project aims to estimate temperature sequences inside permanent magnet synchronous motors from given input sequences that is currents voltages coolant and ambient temperatures and torque as well as motor speed.