From Condition Monitoring to Predictive Maintenance
DAITTO PHM is an enterprise-grade Predictive Maintenance platform engineered for industrial rotating machinery and critical assets. Fusing multi-sensor telemetry (vibration, temperature, acoustics) with physics-informed AI models, DAITTO PHM enables real-time health index calculation, automated root-cause fault diagnosis, and Remaining Useful Life (RUL) estimation, empowering industries to shift from reactive maintenance to proactive prediction.
DAITTO PHM is an intelligent equipment health management solution designed to help industrial organizations understand equipment condition, identify degradation trends, diagnose potential faults and support maintenance decisions. Instead of waiting for equipment failure, PHM uses operational data and intelligent analytics to move maintenance from reactive response toward proactive and predictive management.
Seamlessly ingests vibration, temperature, current, and pressure data to construct a 360-degree asset health profile.
Pre-packaged with extensive failure mode algorithms (bearing wear, gear pitting, misalignment, unbalance) for instant root-cause identification.
Leverages historical degradation trends and live operating conditions to accurately predict remaining operational lifespan.
Automatically generates optimal maintenance schedules, minimizing unplanned downtime and maximizing asset longevity.
DAITTO PHM can combine equipment operating parameters, sensor data, alarms, maintenance history and other available information. Mechanism-based knowledge and AI-driven analytics can work together to identify abnormal patterns and changing equipment health. The objective is not simply to generate more alarms, but to provide a clearer understanding of what is changing, why it may be changing, and what action should be considered next.
DAITTO PHM helps industrial teams move from “repair after failure” to “understand, predict and act before failure.”