ToolsPDM -

Predict equipment failures before they happen with PdM

Intelligent Predictive Maintenance for Industrial Assets

PdM is an AI-powered monitoring solution that analyzes real-time sensor data from industrial assets to detect early signs of failure. It helps reduce unplanned downtime, optimize maintenance schedules, and improve overall equipment performance.

Key Features

Core capabilities designed to monitor asset health, detect faults early, and enable data-driven maintenance decisions.

Real-Time Monitoring

Continuously tracks asset performance using sensor data for instant visibility.

Asset Health Overview

Provides a clear summary of equipment health with intuitive condition-based indicators.

Fault Visualization

Displays fault severity, temperature, and RMS values through interactive visualizations.

Threshold Monitoring

Uses gauge charts to monitor operational thresholds and detect abnormal conditions.

Trend Analysis

Enables weekly comparisons to analyze patterns in severity, temperature, and performance.

Why This Matters

Early Fault Detection

Identifies potential issues early through alerts, preventing major equipment failures.

Reduced Downtime

Minimizes unplanned downtime by enabling timely and proactive maintenance actions.

Planned Maintenance

Supports better scheduling of maintenance activities and inventory management.

Optimized Resource Utilization

Ensures efficient use of manpower and maintenance resources.

Extended Asset Life (RUL)

Improves remaining useful life (RUL) of assets through predictive insights and timely intervention.

See PDM in action

Explore how predictive insights can reduce downtime, optimize maintenance, and improve asset reliability.