HOW IT WORKS
DynaDetect: a comprehensive predictive analysis tool
1. Data collection
Vibration and temperature data are continuously collected by Dynamox sensors and sent to the Platform.
2. Analysis and detection by AI
Dynamox's proprietary model analyzes the data to detect and diagnose mechanical, electrical, and fluid dynamic failures in asset components.
3. Predictive reports
DynaDetect assists in the preparation of reports, helping the maintenance team to act assertively on the alarmed asset.
AUTOMATED DIAGNOSTICS
Automate fault detection with AI
Count on algorithms designed for analysis even in complex assets, ensuring greater efficiency and accuracy of machine and component performance data.
Informed decisions
Automate your data visualization across your entire plant and make high-impact decisions on a large scale.
Data Relationship
Turn your data into information and manage dynamic changes over time with specialized detection support.
Root cause analysis
Save time with automated diagnostics that help uncover the hidden causes behind production losses.
Improve your detections
Feedback on previously unmonitored faults helps optimize asset settings and expand automated detection.
Maintenance supported by Artificial Intelligence
Dynamox's approach differentiators
Specialist Models
Asset analysis by specialized models, considering their peculiarities and diagnosing specific failures.
Technical Team
Tool development by experienced data scientists, vibration analysis specialists, engineers, and physicists.
Research
Continuous partnerships with universities and collaboration with predictive maintenance and Artificial Intelligence researchers.
Validation
Models tested and validated by experts with extensive experience in complex environments of large industries.
Success cases
Dynamox customer stories using DynaDetect to support fault detection
MAINTENANCE SUPPORTED BY AI
Take the next step towards Industry 4.0
Fill out the form and automate your predictive maintenance with DynaDetect. Our team will contact you soon.