With proliferation of Internet of things capable devices and technologies, digital twins have become a key development area to revolutionize and streamline industrial process monitoring. Currently, the use of digital twins for monitoring of anomalies have limited applications and often relies of data collected at low sampling frequency. However, vibration based condition monitoring is a well-studied topic, that requires measuring signals at several thousand kilohertz frequency. These methods offer powerful capabilities for early detection of anomalies before a catastrophic failure in machine occurs and may cause an accident.
We have developed a test rig in our department to investigate anomalies in gears and bearings under a controlled setting. In this project, you will be tasked to build a visual simulation model, which can replicate the operating conditions and simulate expected vibration signals from the gearbox installed in this testrig. Afterwards you will need to monitor the real-time vibration signal measured from the test rig, and detect variations in the measured signal with respect to the simulation model to detect anomalies. You will provide visual cues to the end-user to indicate the source of anomaly.
Undergraduate
1. Understand the vibration model obtained from fixed -axis and planetary gearboxes.
2. Develop a simulation model that describes the expected vibration signal from the gearbox used in the test rig at a given speed and torque condition.
3. Develop a visual simulation based digital twin of the test rig
4. Use measured signals to detect variations with respect to the expected vibration model and identify the source of the anomaly.
5. Provide visual cues to the end user indicating the source of the anomaly detected on the drivetrain test rig.
None
Dynamics & Control Lab (405.852, Lab)