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Predictive Maintenance for a Leading
Electric Motors Company
Predictive maintenance for faster troubleshooting and remote connectivity

About the Customer

Japanese manufacturer of electric motors whose products are found in electric appliances, hard-disk drives, automobiles, and commercial and manufacturing equipment.

Challenges

To conduct an Industry 4.0 assessment with focus on the following goals:

  • Cost of maintenance and local team’s turnaround time for troubleshooting
  • Address availability gaps for customers because of slow communication and action between different geographies

Solution

Tech Mahindra helped the customer using predictive maintenance, this included:

  • One-way data acquisition system
  • Secure, high-speed data stream
  • Rapid communication to affiliates on issues and diagnosis
  • Sensor and machine level monitoring
  • Early warning of anomalies
  • The battery powered custom wireless sensor kit measures equipment vibration (both H&V), temperature, voltage and current.
  • In the cloud, the data gets aggregated, stored, analyzed and visualized using an intuitive, user-friendly web interface.
  • Technologies used – Microsoft Azure, QilkView

Key Outcomes

  • Data can be accessed anytime from anywhere using a browser on a web-enabled device
  • Increased equipment efficiency by remote monitoring and management
  • Reduced business disruption due to remote troubleshooting

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The Eco Engine

Reduce your carbon footprint using any of these modes.
  • Dark Mode
    One of the world's first website to run on Dark Mode by default.
  • Brightness Control
    Adjust the brightness as suited.
  • Hibernate Mode
    Save energy when you're not looking at your screen.