Technological advances in low cost sensing, computing and connectivity provides possibilities to acquire and analyze data affordably at component, system and process levels. With this vast set of data and machine learning technology, machines themselves could be capable of interpreting and understanding the behavior. Motors and drive being the backbone of most application, stays at the forefront in understand and predicting the system or process behavior.
Join Ghanshyam Shrestha, Senior Principal Scientist with ABB Inc. as he moderates this panel discussion.
The full conference schedule is now available and include sessions from leading companies such as STMicroelectronics, Inc., Mitsubishi Electric US, Inc., Arnold Magnetic Technologies, and Motor Design Limited.