• AI ·

Success case

Industrial predictive maintenance

(based on sound)

The challenge

A company in the industrial sector has machinery that participates in the automated manufacturing process. So the plant has microphones installed near the machines, which record the noise.

Objectives

Detect that a machine will fail before it fails, in order to do preventive maintenance.

Services performed

  •  Autoencoder 
  •  Deep learning 
  •  Neural network
  •  Unsupervised learning 
  •  Predictive Maintenance
  •  Sound analysis

Results provided

We detect that a machine will fail before it does, thus avoiding possible production stoppages.