What moves RelTest and advances reliability engineering: stories from our company and selected insights from research and practice.
Webinars, technical articles and milestones from our archive—with technical context for your work.
Illustrative imageRelTest and Holland Innovative established a reliability engineering cooperation in 2020, exchanging expertise in reliability methods, root-cause analysis, data science and training.
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Illustrative imageHow field, test and simulation data can support defensible product-design and reliability decisions.
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How sample size, test duration, confidence and probability of test success can be combined into an economical demonstration strategy.
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A technical distinction between HALT and ALT, including acceleration models, failure mechanisms and limits of interpretation.
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Illustrative imageFirst place for a paper by Kevin Lucan, Martin Dazer, Kim Hintz and Bernd Bertsche on competing failure modes and system reliability estimation.
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Illustrative imageNIST Technical Note 2376
7 May 2026
The comparison shows that identical test methods do not automatically produce comparable results. A consistent machine configuration and an unpaired two-sample test help reveal systematic differences between laboratories.
Illustrative imageNASA Safety & Mission Assurance
8 April 2026
NASA used generative AI to analyse cross-programme hazard data. The relevant finding is the recurring pattern: faults in commands, data, timing and configuration can affect redundant systems through common causes.
Illustrative imageIEC TC 56
November 2025
The ongoing work highlights the topics being standardised for defensible reliability decisions: statistical test principles, reliability prediction data, field-data collection, FTA and FMEA.
Together, we examine how new requirements, findings or data affect risk analysis, testing and the demonstration strategy.
