Posted on 2021-07-27
Ryax Technologies Ryax Technologies

Fault prediction

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Takes live sensor data in and predicts malfunctions or irregular behaviour.

Analytics status

  • Beta

Business benefit

Detecting and forecasting faults, near-failures or malfunctions in production environments provide a much-needed edge over industries’ fierce competition. Using detection & predictive data science to:
- mitigate industry lines downtimes
- augment production quality control
- anticipate tool repair costs
- plan infrastructure compliance retrofits
- prevent intrusions
- etc…

Data inputs (mandatory)

▪ Machine sensor data
▪ Fault history

Data inputs (nice to have)

▪ Other contextual data: temperature, pressure, etc

Data Output

▪ Table containing a timeline of predicted malfunctions

Technical description

Technical details provided on request (contact us).