DyoCense Machine Health is a predictive analytics application that allows maintenance teams to monitor and manage equipment health in real-time. Improve CNC Machine Tool health with real-time diagnostics, condition monitoring, alerts, and preventative and predictive maintenance.
Professionally installed IIoT Connectivity captures data from any modern or legacy machine with the help of edge device/hardware.
Prevent unplanned down time
and increase utilization.
Detect and diagnose asset performance issue to help prevent unplanned downtime and increase utilization.
Manage Your Machine Assets And View Real-Time Equipment Status
Diagnose Problems With Deep Alarm Analytics
And AI- Driven
Manage Preventative Maintenance Tasks
Based On Usage Or Machine Conditions
Track Utilization Of Equipment Over Time To Understand Current And Potential Capacity
Predict Equipment Failures And Prescribe Solutions To Prevent
Gain Insights Into Asset And Maintenance Model Through Visibility Of Issues
Improve Equipment Uptime And Service Productivity
Understand Equipment Utilization Rates And Overall Install Base Health
Capture And Scale Technical Service
Expertise Of Workforce
DyoCense Machine Health continuously monitors equipment health in real-time to detect problems before causing downtime with patent- pending AI technology. Notify machine operators to change a tool before it breaks. Notify your maintenance manager when an anomaly is detected that could lead to a breakdown. This ability can prevent thousands of rupees of equipment replacement costs and days of downtime. ROI Calculator