Digital Solutions

Our objective is to provide added value bringing competitiveness to the industry, through machine learning-based failure diagnosis, prognosis and energy efficiency actionable insights.

Preventive maintenance

Reducing maintenance costs.

  • Dynamic adjustment of maintenance activities
  • User guide for maintenance tasks
Preventive maintenance

Condition monitoring

Increasing the productivity and the availability: Machine health self assesment (machine fingerprint).

  • Spindle bearing condition
  • Tool clamping system
  • Ball screw backlash condition
  • Rotary axes backlash condition
  • Servomotor temperatures / torques
Condition monitoring

Consumption efficiency

Controlling / Optimizing the utility consumption: Global and per part&model consumption values.

  • Electric energy
  • Coolant
  • Cooling water
  • Compressed air
  • Aspiration air
Consumption efficiency

Equipment performance

Controlling / Optimizing equipment performance / availability.

  • Intrinsic Machine availability
  • Production line availability
  • Number of produced parts by model/day
  • Machine status reports
Equipment performance
Raw data

Raw data

Extraction

Extraction

Transportation

Transportation

Storage

Storage

Transformation

Transformation

Delivery

Delivery

Actionable insight

Actionable insight

How Aingura IIoT produces new knowledge?

  • Acquiring massive data from multiple sensors and heterogeneous devices, ensuring data quality with advanced sensor fusion strategies.
  • Filtering noise data and variable selection to reduce up to 90% of storage and communication infrastructure needs.
  • Developing specially tailored machine-learning algorithms for knowledge discovery and perform Real-Time diagnosis and prognosis.

Visit Aingura website for more info

Aingura

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