Foundation for reliability and availability
Sustainable improvement in reliability and availability requires continuous system analysis throughout the entire product life cycle. From the design and qualification phase to the end of the service life, valuable information is generated that directly impacts operation and maintenance strategy. IABG systematically integrates relevant data from development, qualification and operation and evaluates it holistically to identify weaknesses at an early stage and enable robust diagnosis and prediction of system and component condition.
Typical sources of information over the life cycle:
This holistic approach provides the basis for efficient, condition-based and predictive maintenance, thereby enabling a sustainable improvement in reliability and availability.
The analysis of real operating conditions and usage profiles provides crucial insights into loading conditions, degradation mechanisms and weaknesses of technical systems. IABG evaluates existing systems and maintenance processes holistically to identify optimisation potential for operation and availability.
The structured evaluation of operational data, failure histories and operating conditions provides a robust assessment of system reliability. On this basis, targeted measures to improve operation and maintenance can be derived, and future usage strategies can be planned on a sound basis.
A detailed understanding of system behaviour also enables the identification of failure causes and their underlying conditions. This forms a robust basis for the further development of operational and maintenance strategies and supports long-term improvements in efficiency.
Failures and damage are often caused by the interaction of multiple technical and operational factors. Systematic damage and failure analysis therefore forms a key basis for understanding weaknesses, failure mechanisms and degradation processes.
IABG investigates damage patterns and their underlying causes holistically, combining material analysis, simulation-based assessment and experimental testing. Even complex failure cases can thus be reliably assessed and their impact on reliability and availability clearly understood. Find out more.
The insights gained enable both short-term measures to stabilise operation and long-term optimisation of design, usage and maintenance strategies. At the same time, they provide valuable input for the further development of future product generations.
Technical systems are exposed to a wide range of mechanical and environmental loads during operation. For a realistic assessment of service life and reliability, it is essential to consider actual loading conditions together with material and structural behaviour.
IABG combines simulation-based analyses with experimental validation and qualification activities for components and systems. Model-based approaches enable the analysis of loads and usage scenarios under realistic conditions, while testing is used to validate and refine the results. By integrating operational measurements, test data and simulation, relevant damage mechanisms can be identified and robust predictions of service life and failure probabilities can be derived.
This holistic understanding provides the basis for sound design and development decisions, targeted optimisation measures in operation, and the continuous improvement of quality, reliability and cost efficiency across the entire life cycle.
By taking an integrated view of usage, damage and loading conditions, IABG develops a sound understanding of system behaviour. This enables early identification of risks, targeted prioritisation of measures and sustainable improvements in reliability and availability.
Operators and manufacturers benefit from a robust basis for decision-making, supporting safe, cost-effective and efficient system operation across the entire life cycle.
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