Power system reliability modeling

Maximize server reliability and uptime across data centers and telecom networks with Infineon’s cutting-edge reliability prediction solution

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Overview

Advanced reliability prediction solutions elevate server reliability across data center and telecom power systems. Focusing on power supply assurance, this technology significantly reduces outages, enhancing overall system availability. Infineon’s expertise transforms this predictive intelligence into reduced total cost of ownership (TCO), revolutionizing uptime assurance to secure seamless operations for mission-critical infrastructure.

Benefits

  • Real-time system modeling
  • Processing of operating conditions
  • Modeling complete power supply
  • Reliability prediction & MTBF/MTTF
  • Dynamic mission profile logging
  • Optimization of system lifetime
  • Field state of health data & access
  • Existing infrastructure & tooling
  • Pin-to-pin compatibility

Block diagram

About

Why is power system reliability modeling essential?

Power system reliability modeling solution bridges the gap between component and system reliability. By utilizing dynamic mission profile logging, Infineon’s solutions enable real-time health monitoring and accurate lifetime estimation for power supplies.

From telecom applications to data centers and servers, our power system reliability modeling technology directly enhances server reliability by providing deep visibility into the system’s state-of-health.

Through continuous tracking of operating conditions, power system reliability modeling maximizes device utilization in the field. In addition, by modeling expected lifetimes to prevent downtime, these solutions improve profitability and significantly reduce the total cost of ownership (TCO).

Download our whitepaper on server reliability

How to implement reliability modeling to improve server uptime?

Reliability modeling in electric power systems is an advanced, intelligent embedded functional block within Infineon’s power controllers. 

By combining a loadable system model with continuous assessment of critical operational parameters, the controller calculates overall statistical reliability and the likelihood of failure. Monitored parameters include:

  • Input and output voltage
  • Load current
  • Temperature 

By analyzing every power supply component and the dynamic nature of its operation, this solution provides deep insights into the lifetime budget. Tracking these reliability changes over time ensures optimized system operation and maintains server reliability.

This prognostic approach allows the power controller to model the overall system health, ensuring that preventive measures can be taken before the statistical risk of failures hits a predefined limit.

Explore Infineon’s power controllers

What are the value-adding use cases?

Reliability modeling on the system level empowers customers' power supply operation and real-time monitoring capabilities. 

Infineon’s solution provides vital insights into the complete system health, allowing for proactive usage optimization to extend operational lifetime. By leveraging these capabilities, designers can manage their power supply systems based on system health, ensuring enhanced server reliability and prolonged operational continuity for critical infrastructure. 

What are the key advantages of reliability modeling for designers?

  • Real-time diagnostics: Apply system-level diagnostics to any power supply
  • Reliability-centric value: Leverage a powerful value proposition focused on system uptime
  • Seamless integration: Incorporate these capabilities easily into power designs via our advanced controllers

How can I simulate reliability modeling in electric power systems?

The reliability of electrical systems depends on: 

  • Component quality
  • Smart design
  • Intended use

Infineon’s power system reliability modeling tool evaluates a half-bridge buck converter's reliability by calculating failure probability. This evaluation considers component FIT parameters alongside worst-case and mission profiles.

In a configurable measurement interval, the tool shows how buck converter reliability changes when field conditions deviate from the mission profile. Based on these shifts in failure probability, a simple health status method is provided to help designers maintain server reliability.

Run server reliability simulation

How to optimize server TCO with reliability modeling?

Infineon introduces power system reliability modeling, the industry’s first commercially available embedded power supply health monitoring solution. By transforming traditional prediction procedures, this solution leverages real-time telemetry and advanced analytics to dynamically recalculates system failure rates, directly enhancing server reliability.

This approach uses cutting-edge embedded data analytics on real-time telemetry data and a power system reliability model to dynamically recalculate the failure rate of the entire electronic system. 

Failure rate can be utilized for health monitoring, dynamic failure predictions, and data-driven maintenance strategies that significantly reduce downtime and extend equipment lifespan.

What will you learn in this webinar?

  • TCO optimization: Business relevance of reliability and importance as a concept for power supplies in IT infrastructure
  • Design considerations: A deep dive into Power failures, their classification, and their impact on design
  • Implementation schemes: Use cases that help your organization implement health monitoring schemes
  • System availability: Insights into reliability prediction solution for complete system
Watch the on-demand webinar

Why is power system reliability modeling essential?

Power system reliability modeling solution bridges the gap between component and system reliability. By utilizing dynamic mission profile logging, Infineon’s solutions enable real-time health monitoring and accurate lifetime estimation for power supplies.

From telecom applications to data centers and servers, our power system reliability modeling technology directly enhances server reliability by providing deep visibility into the system’s state-of-health.

Through continuous tracking of operating conditions, power system reliability modeling maximizes device utilization in the field. In addition, by modeling expected lifetimes to prevent downtime, these solutions improve profitability and significantly reduce the total cost of ownership (TCO).

Download our whitepaper on server reliability

How to implement reliability modeling to improve server uptime?

Reliability modeling in electric power systems is an advanced, intelligent embedded functional block within Infineon’s power controllers. 

By combining a loadable system model with continuous assessment of critical operational parameters, the controller calculates overall statistical reliability and the likelihood of failure. Monitored parameters include:

  • Input and output voltage
  • Load current
  • Temperature 

By analyzing every power supply component and the dynamic nature of its operation, this solution provides deep insights into the lifetime budget. Tracking these reliability changes over time ensures optimized system operation and maintains server reliability.

This prognostic approach allows the power controller to model the overall system health, ensuring that preventive measures can be taken before the statistical risk of failures hits a predefined limit.

Explore Infineon’s power controllers

What are the value-adding use cases?

Reliability modeling on the system level empowers customers' power supply operation and real-time monitoring capabilities. 

Infineon’s solution provides vital insights into the complete system health, allowing for proactive usage optimization to extend operational lifetime. By leveraging these capabilities, designers can manage their power supply systems based on system health, ensuring enhanced server reliability and prolonged operational continuity for critical infrastructure. 

What are the key advantages of reliability modeling for designers?

  • Real-time diagnostics: Apply system-level diagnostics to any power supply
  • Reliability-centric value: Leverage a powerful value proposition focused on system uptime
  • Seamless integration: Incorporate these capabilities easily into power designs via our advanced controllers

How can I simulate reliability modeling in electric power systems?

The reliability of electrical systems depends on: 

  • Component quality
  • Smart design
  • Intended use

Infineon’s power system reliability modeling tool evaluates a half-bridge buck converter's reliability by calculating failure probability. This evaluation considers component FIT parameters alongside worst-case and mission profiles.

In a configurable measurement interval, the tool shows how buck converter reliability changes when field conditions deviate from the mission profile. Based on these shifts in failure probability, a simple health status method is provided to help designers maintain server reliability.

Run server reliability simulation

How to optimize server TCO with reliability modeling?

Infineon introduces power system reliability modeling, the industry’s first commercially available embedded power supply health monitoring solution. By transforming traditional prediction procedures, this solution leverages real-time telemetry and advanced analytics to dynamically recalculates system failure rates, directly enhancing server reliability.

This approach uses cutting-edge embedded data analytics on real-time telemetry data and a power system reliability model to dynamically recalculate the failure rate of the entire electronic system. 

Failure rate can be utilized for health monitoring, dynamic failure predictions, and data-driven maintenance strategies that significantly reduce downtime and extend equipment lifespan.

What will you learn in this webinar?

  • TCO optimization: Business relevance of reliability and importance as a concept for power supplies in IT infrastructure
  • Design considerations: A deep dive into Power failures, their classification, and their impact on design
  • Implementation schemes: Use cases that help your organization implement health monitoring schemes
  • System availability: Insights into reliability prediction solution for complete system
Watch the on-demand webinar
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