Anomaly detection & predictive maintenance in manufacturing
Use AI to fix machines before they breakdown
Current overview
The rise in the volume of data, increased connectivity, and the emergence of powerful analytics are driving disruption in the manufacturing industry. This digital transformation is aimed at achieving a singular goal — ensuring maximum machine availability. 1% improvement in productivity across the manufacturing industry can result in $500 million in annual savings.
"1% improvement in productivity across
the manufacturing industry can result in
$500 million in annual savings."
DataRPM
Key challenges & objectives
in manufacturing industry
01
Low assembly line uptime
02
Delayed service SLAs
03
Unplanned machine failure
04
Loss of warranty issues
05
Improve productivity
06
Increase revenue
07
Extend equipment life
08
Reduce scrap production
Brainalyzed Insight for anomaly detection in manufacturing
Use Brainalyzed Insight artificial swarm intelligence platform to achieve predictive maintenance by combining data from various sources such as IoT sensors, manufacturing operations data, environmental data to identify which machine components need replacement before they break down.
Brainalyzed Insight’s powerful AI algorithms look for patterns in data to generate predictions on the life span of the machines and their components within the environmental conditions. AI-based anomaly detection reduces your annual maintenance costs by 10%, reduces downtime and inspection costs by 25% respectively.