<p>The increasing complexity of spacecraft architectures and the demand for accelerated development timelines, amplify the limitations of manual compliance methods. Compliance with environmental test level specifications (ETLS) is a cornerstone of spacecraft qualification, ensuring structural robustness and functional reliability under launch and operational environments. Ensuring compliance with ETLS is critical for spacecraft reliability and mission success. Traditionally, this verification relies on manual interpretation of specifications, correlation with subsystem data, and iterative documentation. Such processes are labour-intensive, prone to error, and inconsistent across projects, creating bottlenecks in spacecraft development cycles. Although digital engineering and model-based practices are gaining prominence, a comprehensive and automated framework for ETLS verification is yet to be established. This paper introduces a systematic framework for automating ETLS compliance assessment. The key contributions include (i) digitization of specifications, (ii) implementation of rule-based and weighted verification algorithms, and (iii) development of compliance dashboards for enhanced visualization. The methodology reduces subjectivity, enhances traceability, and delivers measurable improvements in accuracy, efficiency, and scalability, contributing to improved practices in spacecraft systems engineering.</p>

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Automating spacecraft system compliance for environment test level specifications

  • Alok Kumar Jha,
  • V. Ranjith,
  • S. Arun Kumar

摘要

The increasing complexity of spacecraft architectures and the demand for accelerated development timelines, amplify the limitations of manual compliance methods. Compliance with environmental test level specifications (ETLS) is a cornerstone of spacecraft qualification, ensuring structural robustness and functional reliability under launch and operational environments. Ensuring compliance with ETLS is critical for spacecraft reliability and mission success. Traditionally, this verification relies on manual interpretation of specifications, correlation with subsystem data, and iterative documentation. Such processes are labour-intensive, prone to error, and inconsistent across projects, creating bottlenecks in spacecraft development cycles. Although digital engineering and model-based practices are gaining prominence, a comprehensive and automated framework for ETLS verification is yet to be established. This paper introduces a systematic framework for automating ETLS compliance assessment. The key contributions include (i) digitization of specifications, (ii) implementation of rule-based and weighted verification algorithms, and (iii) development of compliance dashboards for enhanced visualization. The methodology reduces subjectivity, enhances traceability, and delivers measurable improvements in accuracy, efficiency, and scalability, contributing to improved practices in spacecraft systems engineering.