Long training time for experienced employees
On-site inspection relies on experienced employees combining production processes with historical equipment status, making it difficult for new employees to get started quickly.
Preventive maintenance; avoid unplanned downtime; prevent failures from escalating
Contact Us01
On-site inspection relies on experienced employees combining production processes with historical equipment status, making it difficult for new employees to get started quickly.
Industrial sites contain many types of equipment. Manual inspection has limited coverage and frequency and cannot provide detailed monitoring.
Single-threshold alarms are prone to false positives, while equipment status can change nonlinearly when production specifications change.
The same fault may exhibit different data patterns, and relying on historical faults alone cannot identify new failure modes.
02
Genetic programming and deep learning create a virtual baseline from normal operating data. Real-time equipment status is then compared against that baseline to identify subtle degradation and support preventive maintenance.
03
Only normal-status data is required to establish the virtual baseline, reducing initial collection time and avoiding dependence on small fault samples.
A computing server can compare virtual normal states with real-time states across all monitored equipment.
Virtual status comparison runs continuously without being limited by inspector numbers or staff capacity.
Snapshot inspection detects any meaningful deviation from normal instead of depending on predefined fault patterns.
edgeApe
Contact us to explore how our innovative solutions can help your business reduce costs, improve efficiency and enhance product quality.
Contact UsEmail
team@edgeape.com
Address
中国,天津市,南开区,天津科技广场3号楼901-1