Program Solutions

Predictive Maintenance Software Maximizes PM Programs

Predictive maintenance software (PdM) uses sensors, dashboards, alarms, and other advanced monitoring tools to identify asset anomalies and analyze asset performance to prevent equipment failure and extend longevity.

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Features of Effective Predictive Maintenance Software

Condition-Based Maintenance

Robust predictive maintenance tools will be the eyes and ears of your PM program, notifying your team of any equipment concerns, so you can know immediately and take action.

Advanced Predictive Maintenance Tools

A robust predictive maintenance program relies on comprehensive tools that provide your team with the correct data with little to no human intervention.

Configurable Dashboards

Comprehensive dashboards allow your team to gather, analyze, and share historical and real-time sensor data you need to make proactive decisions.

Maintenance Connection application user interface, condition-based maintenance, predictive maintenance

Condition-Based Maintenance

Advanced predictive maintenance systems and practices predict when repairs are needed and schedule corrective maintenance before asset failure occurs. This proactive and condition-based approach significantly reduces downtime and maintenance costs while ensuring smooth operations and business continuity. The right PdM system supports your predictive maintenance strategy and allows for the following:

  • Real-time monitoring of asset condition, threshold, and performance
  • Analysis of historical and real-time work order data
  • Connecting sensors and assets via the Internet of Things (IoT) right from your shop floor
  • Accurate MRO inventory data
  • Fully connected systems and tools

Having the right predictive maintenance solution in place is a better and more cost-effective way to monitor and maintain the health of your most critical assets.

Maintenance Connection reporter user interface, predictive maintenance tools.

Advanced Predictive Maintenance Tools

Modern predictive maintenance programs employ reliable monitoring tools such as sensors, alarms, and automation that provide historical and real-time data without requiring human intervention. This includes:

  • Ultrasound testing
  • Motor testing
  • Infrared imaging
  • Vibration monitoring
  • Fluid/oil analysis
  • Motion amplification

And when connected to a robust, centralized computerized maintenance management system (CMMS), users can quickly access the predictive analytics and easily share and act upon asset data.

Maintenance Connection work order dashboard, predictive maintenance software

Configurable Dashboards

For predictive maintenance data to work, users need to be able to look at and/or access that data in their CMMS, EAM, or ERP system. That is where configurable dashboards come in, helping teams:

  • Track the assets included in their preventive maintenance program 
  • Evaluate existing reactive, preventive, and predictive maintenance strategy
  • Define criticality and evaluate the existing PdM frequency and scheduled maintenance
  • Intelligently plan maintenance activity to ensure greater asset availability, reliability, longevity, and operational excellence