AI-based Fault Detection & Classification
Singe-S AI-FDC
A system that collects sampling data or facility logs in less than 0.1 seconds from the sensor and monitors the process by artificial intelligence without SPEC setting by simply connecting
Signe-S FDC
AI-based process anomaly detection system
In the existing FDC, whenever the environment changes,
a person analyzes and sets the SPEC
Signe-S FDC works immediately when connected
AI accurately sets SPEC and monitors the process in real time
Analysis
and modeling
by samples
Inaccurate
SPEC setting
By human
False-positive
Error
Unnecessary
verification
Work
Low productivity & poor FDC effect
No need for manual
modeling for each sensor
Unique real-time,
mathematically autonomous
monitoring algorithm
Supports both
non-parametric data and
time series data
Event mesh between
equipment, IoT, people, and AI
Maximize the accuracy of
anomaly detection with
AI-based FDC
AI-based anomaly detection algorithm for process
Real-time production automation with AI
(Hyper-automation)
Comparison of existing FDC and Signe-SFDC
Data is very important in the artificial intelligence smart factory. Signe-S ECM, a high-stability facility control system capable of high-capacity data transmission, is supported along with FDC
Any to Any event meshes of equipment data
Bigdata enabled MED
REST
MQTT
WebSocket
SECS-Ⅱ
GEM
PLC
Any Use Case
Equipment Event
Equipment log
lot data
Equipment Control
Real-data
Any Pattern
Pub/Sub
Request/Reply
Straming
Fan-in/Fan-out
Queuing
Persistant
Any Where
No Cloud
Public Cloud
Private Cloud
Hybrid Cloud
Paas
