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.
Predictive and risk-based maintenance reduces unplanned failures and enables more efficient allocation of maintenance resources.
Advanced analytics and integrated data models enhance visibility into asset condition, enabling more informed maintenance decisions.
Maintenance strategies are adapted based on asset importance, condition, and risk, ensuring more effective prioritization of interventions.
Continuous monitoring of asset performance enables early detection of issues and faster response to changing conditions.
NTTデータのサポート体制は？
Defines and implements new maintenance strategies based on asset criticality, risk, and performance, moving from time-based to predictive models.
Applies advanced analytics and machine learning to anticipate failures, optimize maintenance schedules, and improve decision-making.
Connects maintenance processes with asset management platforms, IoT data, and operational systems to enable end-to-end visibility and execution.
Supports organizations in adopting new maintenance models through training, process redesign, and alignment across teams.
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.
Predictive models and real-time monitoring enable early detection of issues, significantly reducing unexpected failures.
Optimized maintenance strategies and better resource allocation reduce OPEX while maintaining asset performance.
Proactive maintenance improves uptime and ensures more stable and resilient grid operations.
Integrated data and analytics enable continuous asset monitoring and more accurate forecasting of maintenance needs.
