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New Maintenance Policies for Modern Grids

Evolving maintenance strategies to match grid complexity and risk

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Traditional maintenance policies fail to address renewable integration and asset aging.

Why new maintenance policies for modern grids?

Advanced maintenance policies reduce failures, extend asset life, and optimize resources through data-driven priorization

Modern grids require a shift from reactive to predictive and risk-based maintenance models. By leveraging data, analytics, and real-time monitoring, organizations can prioritize interventions, optimize resources, and ensure asset reliability while adapting to evolving grid conditions.

Key benefits

Transforming maintenance into a proactive, data-driven capability that improves performance and reduces cost.

Reduced failures and optimized OPEX

Predictive and risk-based maintenance reduces unplanned failures and enables more efficient allocation of maintenance resources.

Improved data maturity

Advanced analytics and integrated data models enhance visibility into asset condition, enabling more informed maintenance decisions.

Policy alignment with asset criticality

Maintenance strategies are adapted based on asset importance, condition, and risk, ensuring more effective prioritization of interventions.

Real-time monitoring and control

Continuous monitoring of asset performance enables early detection of issues and faster response to changing conditions.

How NTT DATA helps

01

Maintenance policy redesign

Defines and implements new maintenance strategies based on asset criticality, risk, and performance, moving from time-based to predictive models.

02

Predictive analytics and AI models development

Applies advanced analytics and machine learning to anticipate failures, optimize maintenance schedules, and improve decision-making.

03

Integration with EAM and operational systems

Connects maintenance processes with asset management platforms, IoT data, and operational systems to enable end-to-end visibility and execution.

04

Change enablement and adoption

Supports organizations in adopting new maintenance models through training, process redesign, and alignment across teams.

Proven impact

From reactive maintenance to predictive and optimized asset management

NTT DATA supports organizations in transitioning from traditional, time-based maintenance models to predictive and risk-based approaches.

This shift enables better prioritization of interventions, improved coordination across teams, and greater control over asset performance throughout the lifecycle.

Results that matter

Gass & Power transmission & distribution organizations achieve measurable improvements:

Up to 80% reduction in asset failure risk

Predictive models and real-time monitoring enable early detection of issues, significantly reducing unexpected failures.

Up to 20% reduction in maintenance costs

Optimized maintenance strategies and better resource allocation reduce OPEX while maintaining asset performance.

Increased asset availability and reliability

Proactive maintenance improves uptime and ensures more stable and resilient grid operations.

Enhanced monitoring and predictive capabilities

Integrated data and analytics enable continuous asset monitoring and more accurate forecasting of maintenance needs.

Evolve maintenance strategies to match modern grid complexity.

Drive value through structured execution

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