Product Center
Product Center
FDC
Fault Detection & Classification
Product Overview
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Fault Detection and Early WarningsIt implements real-time monitoring of production process and provides real-time or predictive alarms of abnormal problems to reduce the range of areas affected, improving the equipment utilization and production stability. -
Establishment of Detection ModelThe establishment of appropriate detection rules and control mechanism provides reassurance for the automated, refined and intelligent production. -
AI Analysis and Graphical DisplayThe analysis efficiency of engineers can be improved with the help of top notch AI algorithms, which can deep dive the root cause of abnormal problems by “one-click” analysis; The graphical display is useful for the comparison between production datasets regarding their different methods of classification (e.g. TraceData and SummaryData).
Intelligent tools and rich application scenarios
Features
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01—Data Collection—
On the basis of the configuration of equipment, the system collects the production parameters of equipment and the event information of products entering and exiting equipment, from EAP or BC. The collected data then will be classified and stored in TraceData and SummaryData.
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02—Data Analysis—
By comparing and matching the collected and stored parameter information, it will be able to implement abnormal query and analysis of similar equipment and products. The root cause of abnormal incidents is given by the one-click analysis integrated with high-order AI algorithms, improving the analysis efficiency of engineers by more than 10 times.
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03—Model Monitoring—
Through classified modeling and control of different production processes, with the integration of SPC rules, the production control mode that violates SPC rules is defined, which will be applied to the corresponding production conditions to realize real-time detection and monitoring of production status.
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04—Alarm Notification—
When the SPC rules set by the monitoring model are violated, the relevant engineers will be notified by e-mail or SMS and the control mode will be fed back to MES/EAP system, so as to realize timely feedback and processing of abnormal problems.
Advantage Effect
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Real-time Monitoring and Predicting Production Anomalies
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Establishing an Appropriate Detection Model
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Rapid Analysis of the Root Cause of Production Anomalies
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