Predictive maintenance software helps companies proactively identify issues that may have a negative impact on their fixed assets. This type of software uses statistical process control principles to determine the best time to perform maintenance. It can also increase safety and reduce the number of accidents caused by faulty equipment. Predictive maintenance is mostly beneficial to companies from asset-intensive industries such as manufacturing, utilities, oil and gas, and mining. Maintenance managers use this type of software to reduce downtime and optimize asset performance.
This type of software can be delivered as a standalone solution or as a module of enterprise asset management (EAM) software or CMMS software. Predictive maintenance software often integrates with asset performance management software and industrial IoT software.
To qualify for inclusion in the Predictive Maintenance category, a product must:
Process and analyze real-time condition monitoring data
Identify potential issues before they impact asset performance
Define and manage condition-based maintenance plans
Use big data and IoT sensors to detect signs of failure
Provide suggestions for asset performance optimization