Maintain the right equipment at the right time using your plant floor real-time data. Mtelligence Condition Based Monitoring (CBM) helps global manufacturers and utilities to improve asset performance by focusing maintenance on the right equipment at the right time. CBM uses real-time plant data to determine which equipment require maintenance. The 3.0 release of CBM gives maintenance planners as well as operators better visibility into the true condition & health of production equipment. By monitoring process data from SCADA/HMI systems and plant historians, equipment issues can be caught before costly unplanned downtime occurs.
One of the keys to the Mtelligence solution is tight integration with the EAM/CMMS system (e.g. IBM Maximo, SAP PM, Infor EAM), so that the improved decision making & visibility is incorporated into the existing maintenance management process.
- Machine Learning Module
- CBM includes state of the art machine learning and rule inference algorithms, which analyze historical condition data to determine patterns of failure and how to predict them before costly failures occur, generating maintenance work requests in your EAM/CMMS.
- Asset Health Monitoring
- Predict equipment problems before they fail, generating predictive risk-based work requests into the EAM/CMMS
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- CBM is key technology to support on-condition inspections with automated 24/7 surveillance of symptoms
- CBM Asset Health Analyzer plotting tool facilitates calculation of P-F (potential failure-to-failure) interval to determine inspection intervals where required
Mtelligence Advantage
- Certified CMMS Upgrade Support - Eliminate costly system upgrades with certified support for new versions of EAM/CMMS systems
- Proven Scalability – Multi-threaded CBM engine supports massive scalability for the largest facilities in the world
- Fault Tolerance - Gracefully handle connectivity loss to EAM/CMMS or to plant floor HMI/SCADA systems, with automated retry and backfill logic
- Visual Mapping of SCADA/Historian tags to EAM assets
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