Studies show that organisations spend 80% of their time reacting to issues rather than proactively preventing them using Predictive Maintenance (PdM) software. PdM allows your to predict failures and monitor performance on your most critical assets. This helps organisations across all industries save time and money.

eMaint’s Condition Monitoring tool allows you to define acceptable boundaries for equipment operation, import readings, graph results and automatically trigger an email or generate a work order when boundaries are exceeded. The empirical data provided within eMaint can help improve asset reliability and boost cost efficiency.

Condition Monitoring

Even the most comprehensive scheduled maintenance programme can result in undetected faults leading to unexpected failures. Using eMaint’s condition-based maintenance tool, you can monitor noise, vibration, temperature, lubricants, wear, corrosion, pressure and flow for each of your assets.
Identify Failures Early

Define upper and lower boundaries of acceptable operation for each asset, and auto-generate work order or emails when a reading falls outside of predefined boundaries.

Prevent Breakdowns & Shutdowns

Enter meter readings manually or import them from a file, then display readings as a report with color-coded exceptions.

Optimise Maintenance Resources

Take the guesswork out of scheduling maintenance to your technicians; assign work as needed based on analysis of asset condition data.

Third-Party PdM Integration Diagram

Third-Party PdM Integration

eMaint integrates its CMMS software with SEMEQ, a Predictive Maintenance (PdM) service provider that specialises in the utilisation of condition-based monitoring instrumentation, techniques and technologies.
Improve Asset Health

Automatically generate a corrective work order in eMaint when a negative diagnostic report is recorded by SEMEQ.

Reduce Operator Time

Eliminate double-work and manual data entry through seamless data syncing between eMaint and SEMEQ.

Everything You Need to Manage Your Maintenance

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