System Reliability Assessment

(SRA)

Machine Deep learning algorithms, Artificial intelligence (AI), Automation and modern technology in business as concept.
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In transdisciplinary teams, we develop innovative, customer-oriented solutions for robust, energy-efficient and sustainable electronic systems. We ensure their reliability through application-specific system design, qualification, weak point analysis and optimization both at the system and technology level. Experimental and simulative methods are also developed and applied for this purpose. Reliability assessment and tamper detection of complex electronic systems is increasingly carried out using hybrid (grey-box) modeling approaches. Functional circuit structures are extended by physics-based model approaches and data-based, AI-supported evaluation methods (digital twin).

Taking advantage of our extensive technological expertise combined with the analytical resources of Fraunhofer IZM, we also carry out failure and root cause analysis of electronic assemblies or power electronic modules. To evaluate the reliability and robustness of electronic assemblies and systems, we cover a wide range of defined stress tests and develop target-oriented stress scenarios on the basis of application-specific mission profiles.
 

Key Research Areas

Application-specific system evaluation

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Our primary task is to control the management activities for achieving reliable products and processes throughout the entire product lifecycle. Ensuring reliability starts within the innovation phase. Within the product development phase, careful consideration must be given regarding the influences of production and operation. Moreover functionality and availability should be ensured during operation.

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Reliability: simulation, test and optimization

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Reliability: simulation, test and optimization cover the development and application of experiments and simulations which make it possible to "Design for Reliability". The basis is provided by life-time models determined in accelerated tests.

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Corrosion, electrochemical migration, moisture diffusion

A large number of failures of electronic assemblies can be proven to be due to the influence and effect of humidity. Electronic systems are increasingly exposed to changing climatic environmental influences. At the same time, progressive miniaturization is leading to smaller structural dimensions and consequently smaller packages. Smaller dimensions in the packages also result in smaller diffusion paths for external loads caused by moisture.

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Condition monitoring of electronics

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Condition Monitoring Concepts

The highest levels of availability and lowest failure rates are key requirements for durable and high quality products and main criteria for increasing sustainability. Concepts for condition monitoring are based on the identification and intelligent and efficient recording of relevant system parameters and simultaneous evaluation and calculation of reliability purposes. By means of intelligent interpretation of field data it is possible to determine the condition and the remaining life-time of electrical, electronic and mechatronic systems (E/E/M).

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Optimization, monitoring of mechatronic systems with a digital twin

Digital twin business and industrial process modelling. innovation and optimisation.
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Development of a hybrid approach for the self-validation of safety-critical electronic applications

The use of a digital twin of mechatronic systems enables design optimizations, virtual tests and validations during the development phase as well as continuous monitoring during operation. By integrating trustworthy data sources, the the- oretical behavior of the digital twin or the assembly-specific digital fingerprint is analyzed and compared with the real application.

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Environmental & Reliability Engineering

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