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[NEW] Introducing an AI-Based Platform for Aerospace System Integration Testing

  • 작성자 사진: REALTIMEWAVE
    REALTIMEWAVE
  • 4월 21일
  • 2분 분량






AI-based Simulation and

Analysis-Enabled Aerospace System Integration Testing (HILS, SIL)




REALTIMEWAVE's proprietary RDSS and TA software

will be reborn as a cutting-edge AI-based Platform.





˹ The Moment Test Data Becomes a Strategic Business Asset ˼





1. Accelerated Data Processing

The AI-based platform enables real-time analysis of large-scale test data, offering significantly faster processing speeds compared to traditional manual methods.

It automatically compares and classifies repetitive test cases and scenario results, dramatically reducing the engineers' workload.



2. Improved Accuracy

AI-driven anomaly detection algorithms precisely identify subtle issues that developers might overlook.

By learning from historical test data, the platform automatically detects and analyzes recurring failure patterns.



3. Predictive Insights

Machine learning models trained on test data enable proactive risk prediction and mitigation.

Before flight tests, simulations can be analyzed to anticipate outcomes and potential hazards, enhancing system safety.

The platform can also be used for predictive maintenance and fault prediction across various applications.



4. Knowledge Accumulation & Reusability

As more test data accumulates, the platform continues to learn, offering increasingly sophisticated and accurate analysis over time.

It allows even less experienced engineers to perform high-quality analysis by referencing and leveraging past test data.



5. Scenario-Based Test Automation & Evaluation (Integrated with TA Software)

The platform learns diverse test scenarios and automatically generates evaluation reports after execution.

It minimizes repetitive work by using AI to assess deviations from standards, risk levels, and performance indicators.



6. Standardization & Quality Enhancement

By maintaining consistent analysis criteria, the platform reduces analyst-to-analyst variance and ensures a minimum level of output quality.

It also provides reliable reports that support certification and regulatory reviews in the aerospace domain.



7. Decision Support for Testing

Test results are visualized for intuitive understanding, helping engineers make informed decisions.

In case of anomalies, the system can evolve into a full-fledged Decision Support System (DSS), offering both root cause insights ("Why?") and recommended actions ("How?").




 
 
 

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