Posted on 2021-07-27
Description
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, etcData Output
▪ Table containing a timeline of predicted malfunctionsTechnical description
Technical details provided on request (contact us).
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