Condition with diagnostics monitoring system IPS®APM

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Overview The IPS®APM (Asset Performance Management) software monitors and improves asset performance and reliability to reduce operational costs and extend asset life. Embedded advanced analytics evaluate asset health and criticality while risk algorithms compute Probability of Failure (PoF). IPS®APM integrates with operational systems (SCADA, GIS, ERP) and data lakes to enable consistent data exchange and informed decision-making across the enterprise. Typical users include power utilities, oil & gas operators and water/wastewater utilities.

Main benefits

• Increase asset availability by predicting failures and prioritizing maintenance interventions.
• Reduce operating costs with targeted predictive maintenance and elimination of unnecessary inspections.
• Extend asset lifetime through continuous condition monitoring and updated aging models.
• Support CAPEX/OPEX prioritization and scenario planning with integrated Asset Investment Planning (AIP).
• Maintain an accurate, proactive asset register for improved operational control.
• Access the Master Analytical Library for domain-specific analytics (electrical power systems).

Key features

• Advanced analytics and embedded predictive models including Probability of Failure (PoF).
• Predictive maintenance powered by AI to monitor unlimited assets and deliver early warnings.
• Risk-based prioritization using health indices, PoF and financial consequence assessments.
• Asset lifecycle management to optimize lifecycle cost and operational decisions.
• Asset Investment Planning (AIP) module for scenario modelling, budget allocation and CAPEX/OPEX analysis.
• Inventory Management to keep an up-to-date, accessible asset register.
• Master Analytical Library offering extensive analytics for electrical power networks.

Integrations

• Web services for bi-directional data exchange with enterprise systems.
• Native connectors for SCADA, GIS and ERP systems (examples: SAP, Maximo).
• CIM-compliant exchange and integration with network modelling systems (NMM).
• Support for power-system analytics tools such as PSS®E and PSS®CAPE.
• Integration with IDL (Intelligent Data Lake) for data collection, quality and delivery.

Implementation & Use Cases IPS®APM is deployed to monitor and manage critical assets, reduce unplanned downtime and balance operational performance with life-cycle cost. The solution can be extended with IPS®AIP for tactical and strategic investment planning, scenario creation and budget allocation. Integration is supported via web services and connectors to align operations, analytics and enterprise workflows.

Reporting & Decision Support

• Aggregated analytics for complex objects (substations, lines) with facility, region and event-level views.
• Executive reporting and visualization: dashboards, KPIs, investment plans and risk assessments.
• Decision-support tools including MDI diagrams, risk matrices, simulations and predictive scenarios.

Asset Aging & Continuous Improvement The solution ingests maintenance observations and failure records to continuously update individual asset aging models, improving risk evaluations and prediction accuracy over time.

Industries

• Electrical power transmission and distribution
• Oil & gas
• Water and wastewater utilities
• Any asset-intensive organization focused on risk-based asset management

Training & Knowledge Training and knowledge transfer are delivered via an integrated Knowledge Management platform with multimedia lessons, practical assessments and training activity tracking. On-site and remote training options are available.

Characteristics / Technical specifications

• Solution type: Software — Asset Performance Management (APM)
• Brand: IPS
• Commercial name / model: IPS®APM
• Analytics: Predictive analytics, Probability of Failure (PoF), Master Analytical Library
• Modules: APM core, IPS®AIP (Asset Investment Planning), Inventory Management
• Integrations: SCADA, GIS, ERP (e.g., SAP, Maximo), Web Services, IDL, CIM-compliant exchange, PSS®E, PSS®CAPE, NMM
• Use cases: Risk management, predictive maintenance, asset lifecycle optimization, investment planning
• Deployment: Integrable with enterprise systems via web services; supports data exchange and aggregation
• Training: Knowledge Management platform with multimedia lessons; on-site and remote training supported