Enhance manufacturing reliability with Fault Detection and Classification (FDC), leveraging advanced analytics to identify, classify, and address faults in real time, ensuring superior product quality and minimized downtime.
AI Fault Detection and Classification
AI FDC uses AI, machine learning, and deep learning to create improved models with the use of real-time equipment and process data. The system has self-learning capabilities, supports fault diagnosis and classification, and enables predictive maintenance.
Semiconductor Industry Challenges
Real-time detection, unable to predict
Rely manual experience modeling
Inaccurate modeling or failure cause more than 30% false alarm rate
Unable to diagnose and classify faults
Alpha X AIFDC Solutions
By leveraging data and real-time sensor tracking, the system can predict potential faults, reducing downtime and optimizing system reliability
Deploy autonomous modeling, where AI selects sensors, sets parameters, and automatically calculates specifications, minimizing the need for manual expertise
Use multi-factor anomaly detection combining non-parametric AI models with parameterized modeling to improve the accuracy of fault detection
Integrate a self-learning system that supports fault diagnosis and classification. The system can autonomously identify fault causes and calculate impact factors
Discover our latest demos and how partnering with us can unlock new opportunities for your success!
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