AX Detect
AI Fault Detection & Classification (AI FDC)
AX Detect 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.
High Tech Manufacturing Industry Challenges
Real-Time Detection but Unable to Predict
Rely manual experience modeling
Inaccurate modeling or failure cause more than 30% false alarm rate
Unable to diagnose
and classify faults
AX Detect Solutions
AI Prediction
By leveraging data and real-time sensor tracking, the system can predict potential faults, reducing downtime and optimizing system reliability
Reduce Manual Expertise
Deploy autonomous modeling, where AI selects sensors, sets parameters, and automatically calculates specifications, minimizing the need for manual expertise
AI Anomaly Detection
Use multi-factor anomaly detection combining non-parametric AI models with parameterized modeling to improve the accuracy of fault detection
Self-Learning Capabilities
Integrate a self-learning system that supports fault diagnosis and classification. The system can autonomously identify fault causes and calculate impact factors
Check out our demo and how partnering with us
can unlock new opportunities for your success!