Enabling preventive and condition-based maintenance
Ensuring asset reliability and effective condition-based and preventive maintenance are key for effective and profitable functioning of the electric grid and critical infrastructure. While Asset Management Systems ensure the transactional health of these systems, Space-Time Asset Composite delivers situational intelligence to help identify maintenance issues before breakdowns occur. Integrated financial & warranty management views provide financial liability and risk views of assets.
Features:
- Integration with condition based maintenance systems and sensor data as well as analytics features provide visual, geospatial context-aware, and intuitive early warning to assets likely to fail
- Configurable alerts and user-specified rules allow the operator to receive alerts when an asset functions out of operating bands
- A 'where-used' list provides a geospatial lookup of all the assets that could be impacted by a sub-component malfunction, such as a recall, for example
- KPIs such as MTTF (Mean Time to Failure) and MTBR (Mean Time Between Repairs) are shown geospatially to provide geospatial understanding of unmitigated risks
- Asset rescheduling dashboard helps align downtime with production schedules
- An in-place interactive CAD drawing shows a 3D view of asset internals alongside telemetry and SCADA feeds coming through data historians
- An in-place service log provides asset operating history for the asset in question
- Integration to warranty management systems provides an in-place lookup for warranty and manufacturer specifications
- Out-of-the-box integration with IBM Maximo Asset Management and SAP Asset Management
- Asset Taxonomy views provided through integration with OSISoft PI Analysis Framework (AF)
- Asset thermographs provided for spatial context to overheating and vibration issues with transformers
Benefits:
- Ability to identify defective assets immediately before they cause downtime
- Increased operational productivity with condition-based and predictive analytics
- Minimized downtime risk by fast identification of assets operating out of band
- Improved capacity factors with 'where-used' conditions for high wear & tear assemblies
- Improved situational awareness & readiness
- Reduced economic disruption
- Augmented asset and workforce productivity
- Mitigated liability exposure
- Mitigated or prevented outages & incidents
- Quickened action and reaction times
- Reduced probability of regulatory fines
More Information:
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A Geospatial Solution for Profitable Integration of Renewable Energy into the Grid
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