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Power system reliability modeling
Maximize power system reliability and uptime for critical infrastructure with our cutting-edge reliability prediction solution for power supplies
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On this page
Overview
Our reliability prediction solution empowers datacenters and telecom networks by offering modeling of system-level reliability in power supplies. With a focus on power supply assurance, our technology significantly reduces outages, enhancing overall system availability. Experience peace of mind and reduce total cost of ownership as our solution revolutionizes uptime assurance, securing 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
The Infineon power system reliability modeling (PSRM) solution bridges the gap between component and system reliability, enabling real-time power supply health monitoring and lifetime estimation, thanks to dynamic mission profile logging.?
Power supply health and optimal operations are critical for the availability of IT infrastructure, from telecom applications to datacenters and servers.?
PSRM enables real-time monitoring and tracking of a power supply¡¯s health status based on operating conditions to maximize utilization of the devices in the field. By modeling the expected lifetime, possible downtime can be prevented, which translates into improved profitability and reduced total cost of ownership (TCO).
Power system reliability modeling is an advanced, intelligent embedded functional block within Infineon¡¯s power controllers. By continuously assessing critical operational parameters such as input voltage, output voltage, load current, and temperature ¨C and in combination with a loadable system model of the power supply design, the system's overall statistical reliability and the likelihood of failure is calculated. Taking into consideration every component of the power supply and the dynamic nature of its operation i.e., deep insights on the lifetime budget and the change of reliability over time, an optimized system operation is possible. 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.
Reliability modeling on the system level empowers customers' power supply operation and real-time monitoring capabilities.?
Our solution will shed light on vital insights into the complete system health status and proactively allow optimization of its usage to extend the operational lifetime. By leveraging these capabilities, customers can manage their power supply systems based on system health, ensuring enhanced reliability and prolonged operational continuity for critical infrastructure. The key benefits at a glance:
- Apply real-time system diagnostics to any power supply
- Get a powerful system reliability-centric value proposition
- Easy to use and easy to integrate into the power design through our power controllers
Electrical systems' reliability depends on component quality, smart design, and intended use. This tool evaluates a half-bridge buck converter's reliability as a failure probability, considering component FIT parameters and expected worst-case and expected mission profiles. The tool shows, in a configurable measurement interval, how the reliability of the buck converter changes if the power supply's field conditions deviate from the expected mission profile. Based on the changes in the failure probability, a simple health status method is described. Explore the tool and understand how mission profile and FIT rates influence system¡¯s performance and reliability.?
Infineon introduces its innovative solution ¨C Power System Reliability Modeling, designed to transform traditional reliability prediction procedures into the industry¡¯s first commercially available embedded power supply health monitoring solution. 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. This failure rate can be utilized for health monitoring, dynamic failure predictions and data-driven maintenance strategies that significantly reduce downtime and extend equipment lifespan.
Key takeaways from the webinar:
? Reliability¡¯s business relevance and importance as a concept for power supplies in IT infrastructure to improve TCO
? Learn more about power failures, their classification, and their impact on the design considerations
? Get an overview of the use cases that help your organization to implement health monitoring schemes
? Insights into reliability prediction solution for complete system and its benefits for power supply design and overall system availability
The Infineon power system reliability modeling (PSRM) solution bridges the gap between component and system reliability, enabling real-time power supply health monitoring and lifetime estimation, thanks to dynamic mission profile logging.?
Power supply health and optimal operations are critical for the availability of IT infrastructure, from telecom applications to datacenters and servers.?
PSRM enables real-time monitoring and tracking of a power supply¡¯s health status based on operating conditions to maximize utilization of the devices in the field. By modeling the expected lifetime, possible downtime can be prevented, which translates into improved profitability and reduced total cost of ownership (TCO).
Power system reliability modeling is an advanced, intelligent embedded functional block within Infineon¡¯s power controllers. By continuously assessing critical operational parameters such as input voltage, output voltage, load current, and temperature ¨C and in combination with a loadable system model of the power supply design, the system's overall statistical reliability and the likelihood of failure is calculated. Taking into consideration every component of the power supply and the dynamic nature of its operation i.e., deep insights on the lifetime budget and the change of reliability over time, an optimized system operation is possible. 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.
Reliability modeling on the system level empowers customers' power supply operation and real-time monitoring capabilities.?
Our solution will shed light on vital insights into the complete system health status and proactively allow optimization of its usage to extend the operational lifetime. By leveraging these capabilities, customers can manage their power supply systems based on system health, ensuring enhanced reliability and prolonged operational continuity for critical infrastructure. The key benefits at a glance:
- Apply real-time system diagnostics to any power supply
- Get a powerful system reliability-centric value proposition
- Easy to use and easy to integrate into the power design through our power controllers
Electrical systems' reliability depends on component quality, smart design, and intended use. This tool evaluates a half-bridge buck converter's reliability as a failure probability, considering component FIT parameters and expected worst-case and expected mission profiles. The tool shows, in a configurable measurement interval, how the reliability of the buck converter changes if the power supply's field conditions deviate from the expected mission profile. Based on the changes in the failure probability, a simple health status method is described. Explore the tool and understand how mission profile and FIT rates influence system¡¯s performance and reliability.?
Infineon introduces its innovative solution ¨C Power System Reliability Modeling, designed to transform traditional reliability prediction procedures into the industry¡¯s first commercially available embedded power supply health monitoring solution. 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. This failure rate can be utilized for health monitoring, dynamic failure predictions and data-driven maintenance strategies that significantly reduce downtime and extend equipment lifespan.
Key takeaways from the webinar:
? Reliability¡¯s business relevance and importance as a concept for power supplies in IT infrastructure to improve TCO
? Learn more about power failures, their classification, and their impact on the design considerations
? Get an overview of the use cases that help your organization to implement health monitoring schemes
? Insights into reliability prediction solution for complete system and its benefits for power supply design and overall system availability