Success case

Predictive industrial maintenance

(sound-based)

The challenge

A company in the industrial sector has machinery that participates in the automated manufacturing process.

The plant has sound sensors deployed near the machines, allowing the record of sound patterns.

Objectives

Provide advanced machine-failure-detection combined with preventive maintenance.

Services performed

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

Results provided

We detect machine failure before the event happens, avoiding production stoppage.