Predictive Maintenance Services

Detailed Information

  • Category

    Cloud Computing

Predictive maintenance can cover many applications such as:

  • Manufacturing industry
  • Information and technology
  • Oil & Gas industry
  • Heavy-Machinery sector
  • Railway
  • Tunnel
  • Chemical Plant.
  • Airport Equipment

With predictive maintenance capabilities, companies can determine the remaining value of assets and accurately determine when a manufacturing plant, machine, component or part is likely to fail, and thus needs to be replaced.

Predictive maintenance can yield the following benefits:

  • Reduce downtime
  • Increase productivity and operational effectiveness
  • Improve safety
  • Understand the root causes of failures
  • Derive asset values, even for machinery of varying age and condition

Using cloud technologies, machines, factories, and manufacturing processes have become intelligent, integrated, and data-driven. Predictive maintenance techniques collect data from machines such as temperature, vibration, and sound using sensors. Once data is collected and normalized, you can employ predictive analytics by applying machine learning techniques.

As you collect multiple parameters from highly instrumented equipment, it becomes important to use machine learning techniques to identify failure patterns. With machine learning you can identify patterns that indicate upcoming failure. With a deep learning-based technique, you can also identify patterns inside a pattern that indicates failure.