How to Automatically Assess Servo Motor Health without Disassembly
What if you could perform a complete health assessment of a servo motor, fully automated and without opening the unit? With a specialized test-and-measurement approach designed specifically for servo motors, this is now possible. In this webinar, you discover a 360° condition evaluation system that analyses alignment, feedback, vibration, temperature, winding condition, balance, magnetism, and brake performance, all without disassembling the motor.
Servo motors play a critical role in operations. Yet the true condition of these motors often remains unclear. Subtle faults are difficult to detect, diagnose, or troubleshoot. In some cases, they go completely unnoticed until a costly failure occurs. Traditional assessment methods frequently require disassembly and downtime, making them impractical for today’s demanding industrial environments.
This approach provided through this webinar, not only helps prevent failures but also enables targeted, cost-efficient repairs based on clear diagnostics.
About the webinar
- Introduction on the functioning & cricital components of servo motors
- The technology stack enabling full 360° automated evaluation of servo motors
- Integration of hardware and software components
- Integration of hardware and software components
- Non-invasive measurement of:
- Feedback systems and alignment
- Vibration and temperature data
- Winding integrity and magnetic field strength
- Brake performance and dynamic balance
- Real-world use cases:
- Insights from Georgia-Pacific, CHS Inc., and Boise Cascade
- Analysis of 5 real-world examples
- How to integrate automated motor testing into existing maintenance workflows
- Using test results to support predictive maintenance and asset longevity
What will you learn?
You learn how servo motors fail and how to detect those failure modes early. You understand how to validate a motor before it's installed, monitor it throughout its service life, and act quickly when problems arise. Join us to discover how to make smarter repair decisions and reduce unplanned downtime through precise, automated diagnostics.
About the speakers
Nishant Pathak, Software Engineer at Octava Engineering, leads the company’s software strategy and development. He holds a BE in Mechanical Engineering and a Master’s in Industrial Engineering, and is a Certified Lean Six Sigma Green Belt (CLSSGB).
Clint Switzer, Hardware Engineer at Octava Engineering, brings 38 years of experience in factory automation and servo motor technology. He has built repair, testing, and validation departments at two of the largest workshops in the U.S., and holds dual degrees in Electrical Engineering and Automotive Technology.
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